{"id":"https://openalex.org/W3005865003","doi":"https://doi.org/10.3390/s20041085","title":"Automated Video Behavior Recognition of Pigs Using Two-Stream Convolutional Networks","display_name":"Automated Video Behavior Recognition of Pigs Using Two-Stream Convolutional Networks","publication_year":2020,"publication_date":"2020-02-17","ids":{"openalex":"https://openalex.org/W3005865003","doi":"https://doi.org/10.3390/s20041085","mag":"3005865003","pmid":"https://pubmed.ncbi.nlm.nih.gov/32079299"},"language":"en","primary_location":{"id":"doi:10.3390/s20041085","is_oa":true,"landing_page_url":"https://doi.org/10.3390/s20041085","pdf_url":"https://www.mdpi.com/1424-8220/20/4/1085/pdf?version=1582252029","source":{"id":"https://openalex.org/S101949793","display_name":"Sensors","issn_l":"1424-8220","issn":["1424-8220"],"is_oa":true,"is_in_doaj":true,"is_core":true,"host_organization":"https://openalex.org/P4310310987","host_organization_name":"Multidisciplinary Digital Publishing Institute","host_organization_lineage":["https://openalex.org/P4310310987"],"host_organization_lineage_names":["Multidisciplinary Digital Publishing Institute"],"type":"journal"},"license":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Sensors","raw_type":"journal-article"},"type":"article","indexed_in":["crossref","doaj","pubmed"],"open_access":{"is_oa":true,"oa_status":"gold","oa_url":"https://www.mdpi.com/1424-8220/20/4/1085/pdf?version=1582252029","any_repository_has_fulltext":true},"authorships":[{"author_position":"first","author":{"id":"https://openalex.org/A5101432657","display_name":"Kaifeng Zhang","orcid":"https://orcid.org/0000-0001-6920-3787"},"institutions":[{"id":"https://openalex.org/I52158045","display_name":"China Agricultural University","ror":"https://ror.org/04v3ywz14","country_code":"CN","type":"education","lineage":["https://openalex.org/I52158045"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Kaifeng Zhang","raw_affiliation_strings":["College of Information and Electrical Engineering, China Agricultural University, Beijing 100083, China"],"affiliations":[{"raw_affiliation_string":"College of Information and Electrical Engineering, China Agricultural University, Beijing 100083, China","institution_ids":["https://openalex.org/I52158045"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5100607929","display_name":"Dan Li","orcid":"https://orcid.org/0000-0002-3656-1358"},"institutions":[{"id":"https://openalex.org/I52158045","display_name":"China Agricultural University","ror":"https://ror.org/04v3ywz14","country_code":"CN","type":"education","lineage":["https://openalex.org/I52158045"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Dan Li","raw_affiliation_strings":["College of Information and Electrical Engineering, China Agricultural University, Beijing 100083, China"],"affiliations":[{"raw_affiliation_string":"College of Information and Electrical Engineering, China Agricultural University, Beijing 100083, China","institution_ids":["https://openalex.org/I52158045"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5101071018","display_name":"Jiayun Huang","orcid":null},"institutions":[{"id":"https://openalex.org/I52158045","display_name":"China Agricultural University","ror":"https://ror.org/04v3ywz14","country_code":"CN","type":"education","lineage":["https://openalex.org/I52158045"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Jiayun Huang","raw_affiliation_strings":["College of Information and Electrical Engineering, China Agricultural University, Beijing 100083, China"],"affiliations":[{"raw_affiliation_string":"College of Information and Electrical Engineering, China Agricultural University, Beijing 100083, China","institution_ids":["https://openalex.org/I52158045"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5000707990","display_name":"Yifei Chen","orcid":"https://orcid.org/0000-0003-1234-9966"},"institutions":[{"id":"https://openalex.org/I52158045","display_name":"China Agricultural University","ror":"https://ror.org/04v3ywz14","country_code":"CN","type":"education","lineage":["https://openalex.org/I52158045"]}],"countries":["CN"],"is_corresponding":true,"raw_author_name":"Yifei Chen","raw_affiliation_strings":["College of Information and Electrical Engineering, China Agricultural University, Beijing 100083, China"],"affiliations":[{"raw_affiliation_string":"College of Information and Electrical Engineering, China Agricultural University, Beijing 100083, China","institution_ids":["https://openalex.org/I52158045"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":4,"corresponding_author_ids":["https://openalex.org/A5000707990"],"corresponding_institution_ids":["https://openalex.org/I52158045"],"apc_list":{"value":2400,"currency":"CHF","value_usd":2598},"apc_paid":{"value":2400,"currency":"CHF","value_usd":2598},"fwci":5.6056,"has_fulltext":true,"cited_by_count":58,"citation_normalized_percentile":{"value":0.97390082,"is_in_top_1_percent":false,"is_in_top_10_percent":true},"cited_by_percentile_year":{"min":89,"max":100},"biblio":{"volume":"20","issue":"4","first_page":"1085","last_page":"1085"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10838","display_name":"Animal Behavior and Welfare Studies","score":0.9984999895095825,"subfield":{"id":"https://openalex.org/subfields/3404","display_name":"Small Animals"},"field":{"id":"https://openalex.org/fields/34","display_name":"Veterinary"},"domain":{"id":"https://openalex.org/domains/4","display_name":"Health Sciences"}},"topics":[{"id":"https://openalex.org/T10838","display_name":"Animal Behavior and Welfare Studies","score":0.9984999895095825,"subfield":{"id":"https://openalex.org/subfields/3404","display_name":"Small Animals"},"field":{"id":"https://openalex.org/fields/34","display_name":"Veterinary"},"domain":{"id":"https://openalex.org/domains/4","display_name":"Health Sciences"}},{"id":"https://openalex.org/T10331","display_name":"Video Surveillance and Tracking Methods","score":0.9631999731063843,"subfield":{"id":"https://openalex.org/subfields/1707","display_name":"Computer Vision and Pattern Recognition"},"field":{"id":"https://openalex.org/fields/17","display_name":"Computer Science"},"domain":{"id":"https://openalex.org/domains/3","display_name":"Physical Sciences"}},{"id":"https://openalex.org/T10333","display_name":"Meat and Animal Product Quality","score":0.9315000176429749,"subfield":{"id":"https://openalex.org/subfields/1103","display_name":"Animal Science and Zoology"},"field":{"id":"https://openalex.org/fields/11","display_name":"Agricultural and Biological Sciences"},"domain":{"id":"https://openalex.org/domains/1","display_name":"Life Sciences"}}],"keywords":[{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.7962936758995056},{"id":"https://openalex.org/keywords/optical-flow","display_name":"Optical flow","score":0.7450724840164185},{"id":"https://openalex.org/keywords/normalization","display_name":"Normalization (sociology)","score":0.7085565328598022},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.6214260458946228},{"id":"https://openalex.org/keywords/residual","display_name":"Residual","score":0.5376729965209961},{"id":"https://openalex.org/keywords/feature-extraction","display_name":"Feature extraction","score":0.5372898578643799},{"id":"https://openalex.org/keywords/pattern-recognition","display_name":"Pattern recognition (psychology)","score":0.5189309120178223},{"id":"https://openalex.org/keywords/feature","display_name":"Feature (linguistics)","score":0.4455316662788391},{"id":"https://openalex.org/keywords/deep-learning","display_name":"Deep learning","score":0.43080833554267883},{"id":"https://openalex.org/keywords/computer-vision","display_name":"Computer vision","score":0.3684993386268616},{"id":"https://openalex.org/keywords/image","display_name":"Image (mathematics)","score":0.24206635355949402}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.7962936758995056},{"id":"https://openalex.org/C155542232","wikidata":"https://www.wikidata.org/wiki/Q736111","display_name":"Optical flow","level":3,"score":0.7450724840164185},{"id":"https://openalex.org/C136886441","wikidata":"https://www.wikidata.org/wiki/Q926129","display_name":"Normalization (sociology)","level":2,"score":0.7085565328598022},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.6214260458946228},{"id":"https://openalex.org/C155512373","wikidata":"https://www.wikidata.org/wiki/Q287450","display_name":"Residual","level":2,"score":0.5376729965209961},{"id":"https://openalex.org/C52622490","wikidata":"https://www.wikidata.org/wiki/Q1026626","display_name":"Feature extraction","level":2,"score":0.5372898578643799},{"id":"https://openalex.org/C153180895","wikidata":"https://www.wikidata.org/wiki/Q7148389","display_name":"Pattern recognition (psychology)","level":2,"score":0.5189309120178223},{"id":"https://openalex.org/C2776401178","wikidata":"https://www.wikidata.org/wiki/Q12050496","display_name":"Feature (linguistics)","level":2,"score":0.4455316662788391},{"id":"https://openalex.org/C108583219","wikidata":"https://www.wikidata.org/wiki/Q197536","display_name":"Deep learning","level":2,"score":0.43080833554267883},{"id":"https://openalex.org/C31972630","wikidata":"https://www.wikidata.org/wiki/Q844240","display_name":"Computer vision","level":1,"score":0.3684993386268616},{"id":"https://openalex.org/C115961682","wikidata":"https://www.wikidata.org/wiki/Q860623","display_name":"Image (mathematics)","level":2,"score":0.24206635355949402},{"id":"https://openalex.org/C144024400","wikidata":"https://www.wikidata.org/wiki/Q21201","display_name":"Sociology","level":0,"score":0.0},{"id":"https://openalex.org/C11413529","wikidata":"https://www.wikidata.org/wiki/Q8366","display_name":"Algorithm","level":1,"score":0.0},{"id":"https://openalex.org/C138885662","wikidata":"https://www.wikidata.org/wiki/Q5891","display_name":"Philosophy","level":0,"score":0.0},{"id":"https://openalex.org/C19165224","wikidata":"https://www.wikidata.org/wiki/Q23404","display_name":"Anthropology","level":1,"score":0.0},{"id":"https://openalex.org/C41895202","wikidata":"https://www.wikidata.org/wiki/Q8162","display_name":"Linguistics","level":1,"score":0.0}],"mesh":[{"descriptor_ui":"D000077321","descriptor_name":"Deep Learning","qualifier_ui":null,"qualifier_name":null,"is_major_topic":true},{"descriptor_ui":"D000077321","descriptor_name":"Deep Learning","qualifier_ui":null,"qualifier_name":null,"is_major_topic":true},{"descriptor_ui":"D000077321","descriptor_name":"Deep Learning","qualifier_ui":null,"qualifier_name":null,"is_major_topic":true},{"descriptor_ui":"D000818","descriptor_name":"Animals","qualifier_ui":null,"qualifier_name":null,"is_major_topic":false},{"descriptor_ui":"D000818","descriptor_name":"Animals","qualifier_ui":null,"qualifier_name":null,"is_major_topic":false},{"descriptor_ui":"D000818","descriptor_name":"Animals","qualifier_ui":null,"qualifier_name":null,"is_major_topic":false},{"descriptor_ui":"D001522","descriptor_name":"Behavior, Animal","qualifier_ui":"Q000502","qualifier_name":"physiology","is_major_topic":false},{"descriptor_ui":"D001522","descriptor_name":"Behavior, Animal","qualifier_ui":"Q000502","qualifier_name":"physiology","is_major_topic":false},{"descriptor_ui":"D001522","descriptor_name":"Behavior, Animal","qualifier_ui":"Q000502","qualifier_name":"physiology","is_major_topic":false},{"descriptor_ui":"D006801","descriptor_name":"Humans","qualifier_ui":null,"qualifier_name":null,"is_major_topic":false},{"descriptor_ui":"D006801","descriptor_name":"Humans","qualifier_ui":null,"qualifier_name":null,"is_major_topic":false},{"descriptor_ui":"D006801","descriptor_name":"Humans","qualifier_ui":null,"qualifier_name":null,"is_major_topic":false},{"descriptor_ui":"D007091","descriptor_name":"Image Processing, Computer-Assisted","qualifier_ui":"Q000379","qualifier_name":"methods","is_major_topic":false},{"descriptor_ui":"D007091","descriptor_name":"Image Processing, Computer-Assisted","qualifier_ui":"Q000379","qualifier_name":"methods","is_major_topic":false},{"descriptor_ui":"D007091","descriptor_name":"Image Processing, Computer-Assisted","qualifier_ui":"Q000379","qualifier_name":"methods","is_major_topic":false},{"descriptor_ui":"D010363","descriptor_name":"Pattern Recognition, Automated","qualifier_ui":"Q000379","qualifier_name":"methods","is_major_topic":false},{"descriptor_ui":"D010363","descriptor_name":"Pattern Recognition, Automated","qualifier_ui":"Q000379","qualifier_name":"methods","is_major_topic":false},{"descriptor_ui":"D010363","descriptor_name":"Pattern Recognition, Automated","qualifier_ui":"Q000379","qualifier_name":"methods","is_major_topic":false},{"descriptor_ui":"D013552","descriptor_name":"Swine","qualifier_ui":"Q000502","qualifier_name":"physiology","is_major_topic":false},{"descriptor_ui":"D013552","descriptor_name":"Swine","qualifier_ui":"Q000502","qualifier_name":"physiology","is_major_topic":false},{"descriptor_ui":"D013552","descriptor_name":"Swine","qualifier_ui":"Q000502","qualifier_name":"physiology","is_major_topic":false},{"descriptor_ui":"D014741","descriptor_name":"Video Recording","qualifier_ui":null,"qualifier_name":null,"is_major_topic":true},{"descriptor_ui":"D014741","descriptor_name":"Video Recording","qualifier_ui":null,"qualifier_name":null,"is_major_topic":true},{"descriptor_ui":"D014741","descriptor_name":"Video Recording","qualifier_ui":null,"qualifier_name":null,"is_major_topic":true},{"descriptor_ui":"D016571","descriptor_name":"Neural Networks, Computer","qualifier_ui":null,"qualifier_name":null,"is_major_topic":true},{"descriptor_ui":"D016571","descriptor_name":"Neural Networks, Computer","qualifier_ui":null,"qualifier_name":null,"is_major_topic":true},{"descriptor_ui":"D016571","descriptor_name":"Neural Networks, Computer","qualifier_ui":null,"qualifier_name":null,"is_major_topic":true}],"locations_count":5,"locations":[{"id":"doi:10.3390/s20041085","is_oa":true,"landing_page_url":"https://doi.org/10.3390/s20041085","pdf_url":"https://www.mdpi.com/1424-8220/20/4/1085/pdf?version=1582252029","source":{"id":"https://openalex.org/S101949793","display_name":"Sensors","issn_l":"1424-8220","issn":["1424-8220"],"is_oa":true,"is_in_doaj":true,"is_core":true,"host_organization":"https://openalex.org/P4310310987","host_organization_name":"Multidisciplinary Digital Publishing Institute","host_organization_lineage":["https://openalex.org/P4310310987"],"host_organization_lineage_names":["Multidisciplinary Digital Publishing Institute"],"type":"journal"},"license":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Sensors","raw_type":"journal-article"},{"id":"pmid:32079299","is_oa":false,"landing_page_url":"https://pubmed.ncbi.nlm.nih.gov/32079299","pdf_url":null,"source":{"id":"https://openalex.org/S4306525036","display_name":"PubMed","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"host_organization":"https://openalex.org/I1299303238","host_organization_name":"National Institutes of Health","host_organization_lineage":["https://openalex.org/I1299303238"],"host_organization_lineage_names":[],"type":"repository"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Sensors (Basel, Switzerland)","raw_type":null},{"id":"pmh:oai:doaj.org/article:ccf0563f088442adb09244d0d50bcb60","is_oa":true,"landing_page_url":"https://doaj.org/article/ccf0563f088442adb09244d0d50bcb60","pdf_url":null,"source":{"id":"https://openalex.org/S112646816","display_name":"SHILAP Revista de lepidopterolog\u00eda","issn_l":"0300-5267","issn":["0300-5267","2340-4078"],"is_oa":true,"is_in_doaj":true,"is_core":false,"host_organization":null,"host_organization_name":null,"host_organization_lineage":[],"host_organization_lineage_names":[],"type":"journal"},"license":"cc-by-sa","license_id":"https://openalex.org/licenses/cc-by-sa","version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":"Sensors, Vol 20, Iss 4, p 1085 (2020)","raw_type":"article"},{"id":"pmh:oai:mdpi.com:/1424-8220/20/4/1085/","is_oa":true,"landing_page_url":"http://dx.doi.org/10.3390/s20041085","pdf_url":null,"source":{"id":"https://openalex.org/S4306400947","display_name":"MDPI (MDPI AG)","issn_l":null,"issn":null,"is_oa":true,"is_in_doaj":false,"is_core":false,"host_organization":"https://openalex.org/I4210097602","host_organization_name":"Multidisciplinary Digital Publishing Institute (Switzerland)","host_organization_lineage":["https://openalex.org/I4210097602"],"host_organization_lineage_names":[],"type":"repository"},"license":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":"Sensors","raw_type":"Text"},{"id":"pmh:oai:pubmedcentral.nih.gov:7070994","is_oa":true,"landing_page_url":"https://www.ncbi.nlm.nih.gov/pmc/articles/7070994","pdf_url":null,"source":{"id":"https://openalex.org/S2764455111","display_name":"PubMed Central","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"host_organization":"https://openalex.org/I1299303238","host_organization_name":"National Institutes of Health","host_organization_lineage":["https://openalex.org/I1299303238"],"host_organization_lineage_names":[],"type":"repository"},"license":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":"Sensors (Basel)","raw_type":"Text"}],"best_oa_location":{"id":"doi:10.3390/s20041085","is_oa":true,"landing_page_url":"https://doi.org/10.3390/s20041085","pdf_url":"https://www.mdpi.com/1424-8220/20/4/1085/pdf?version=1582252029","source":{"id":"https://openalex.org/S101949793","display_name":"Sensors","issn_l":"1424-8220","issn":["1424-8220"],"is_oa":true,"is_in_doaj":true,"is_core":true,"host_organization":"https://openalex.org/P4310310987","host_organization_name":"Multidisciplinary Digital Publishing Institute","host_organization_lineage":["https://openalex.org/P4310310987"],"host_organization_lineage_names":["Multidisciplinary Digital Publishing Institute"],"type":"journal"},"license":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Sensors","raw_type":"journal-article"},"sustainable_development_goals":[],"awards":[{"id":"https://openalex.org/G5614620356","display_name":null,"funder_award_id":"4444-10099609","funder_id":"https://openalex.org/F4320335778","funder_display_name":"National Science and Technology Infrastructure Program"}],"funders":[{"id":"https://openalex.org/F4320321131","display_name":"China Agricultural University","ror":"https://ror.org/04v3ywz14"},{"id":"https://openalex.org/F4320335778","display_name":"National Science and Technology Infrastructure Program","ror":null}],"has_content":{"pdf":true,"grobid_xml":true},"content_urls":{"pdf":"https://content.openalex.org/works/W3005865003.pdf","grobid_xml":"https://content.openalex.org/works/W3005865003.grobid-xml"},"referenced_works_count":36,"referenced_works":["https://openalex.org/W1597063097","https://openalex.org/W1836465849","https://openalex.org/W1983364832","https://openalex.org/W2042192454","https://openalex.org/W2043813704","https://openalex.org/W2053289930","https://openalex.org/W2073855014","https://openalex.org/W2091991228","https://openalex.org/W2097117768","https://openalex.org/W2099555137","https://openalex.org/W2108598243","https://openalex.org/W2145904480","https://openalex.org/W2151848342","https://openalex.org/W2156303437","https://openalex.org/W2165553352","https://openalex.org/W2183341477","https://openalex.org/W2194775991","https://openalex.org/W2343728412","https://openalex.org/W2346684344","https://openalex.org/W2507009361","https://openalex.org/W2527150209","https://openalex.org/W2581974582","https://openalex.org/W2616251437","https://openalex.org/W2778191445","https://openalex.org/W2791489312","https://openalex.org/W2893064254","https://openalex.org/W2899609705","https://openalex.org/W2949117887","https://openalex.org/W2950971447","https://openalex.org/W2957697881","https://openalex.org/W2963524571","https://openalex.org/W2964350391","https://openalex.org/W2970293506","https://openalex.org/W2982716159","https://openalex.org/W6634902294","https://openalex.org/W6661743123"],"related_works":["https://openalex.org/W2591697403","https://openalex.org/W2944728705","https://openalex.org/W2904022177","https://openalex.org/W2359348847","https://openalex.org/W3011538607","https://openalex.org/W4294432981","https://openalex.org/W4321441197","https://openalex.org/W2953716828","https://openalex.org/W2469820710","https://openalex.org/W4297807321"],"abstract_inverted_index":{"The":[0,215,234,277],"detection":[1],"of":[2,32,71,80,88,101,194,204,208,229,264,271,291],"pig":[3,35,56,72,82,90,181,186,252,292],"behavior":[4,36,57,73,79,182,188,293],"helps":[5],"detect":[6],"abnormal":[7],"conditions":[8,212],"such":[9],"as":[10,124],"diseases":[11],"and":[12,18,30,43,119,133,152,199,221,226,257,266],"dangerous":[13],"movements":[14],"in":[15,26,91,287],"a":[16,92,227,261],"timely":[17],"effective":[19],"manner,":[20],"which":[21],"plays":[22],"an":[23,48],"important":[24],"role":[25],"ensuring":[27],"the":[28,69,78,81,86,89,98,102,110,131,166,223,239,267,284,289],"health":[29],"well-being":[31],"pigs.":[33],"Monitoring":[34],"by":[37],"staff":[38],"is":[39,47,161,281],"time":[40,270],"consuming,":[41],"subjective,":[42],"impractical.":[44],"Therefore,":[45],"there":[46],"urgent":[49],"need":[50],"to":[51,68,128,179,219,250,283],"implement":[52],"methods":[53],"for":[54],"identifying":[55],"automatically.":[58],"In":[59],"recent":[60],"years,":[61],"deep":[62,143],"learning":[63,144],"has":[64],"been":[65],"gradually":[66],"applied":[67],"study":[70,115],"recognition.":[74,183,294],"Existing":[75],"studies":[76],"judge":[77],"only":[83],"based":[84,141],"on":[85,142],"posture":[87],"still":[93],"image":[94,117],"frame,":[95],"without":[96],"considering":[97],"motion":[99,111],"information":[100],"behavior.":[103],"However,":[104],"optical":[105,120],"flow":[106,121],"can":[107],"well":[108],"reflect":[109],"information.":[112],"Thus,":[113],"this":[114],"took":[116],"frames":[118],"from":[122,201],"videos":[123,193],"two-stream":[125],"input":[126],"objects":[127],"fully":[129],"extract":[130],"temporal":[132,153],"spatial":[134],"behavioral":[135,206],"characteristics.":[136],"Two-stream":[137],"convolutional":[138],"network":[139,160,245],"models":[140,286],"were":[145,232],"proposed,":[146],"including":[147],"inflated":[148],"3D":[149],"convnet":[150],"(I3D)":[151],"segment":[154],"networks":[155],"(TSN)":[156],"whose":[157,242],"feature":[158,243],"extraction":[159,244],"Residual":[162],"Network":[163],"(ResNet)":[164],"or":[165,177],"Inception":[167,170],"architecture":[168],"(e.g.,":[169],"with":[171,260],"Batch":[172],"Normalization":[173],"(BN-Inception),":[174],"InceptionV3,":[175],"InceptionV4,":[176],"InceptionResNetV2)":[178],"achieve":[180],"A":[184],"standard":[185],"video":[187,273],"dataset":[189,216],"that":[190,238],"included":[191],"1000":[192],"feeding,":[195,253],"lying,":[196,254],"walking,":[197,255],"scratching":[198],"mounting":[200,258],"five":[202],"kinds":[203],"different":[205],"actions":[207],"pigs":[209],"under":[210],"natural":[211],"was":[213,217,246,248,274],"created.":[214],"used":[218],"train":[220],"test":[222],"proposed":[224],"models,":[225],"series":[228],"comparative":[230],"experiments":[231],"conducted.":[233],"experimental":[235],"results":[236],"showed":[237],"TSN":[240,278],"model":[241,279],"ResNet101":[247],"able":[249],"recognize":[251],"scratching,":[256],"behaviors":[259],"higher":[262],"average":[263,268],"98.99%,":[265],"recognition":[269],"each":[272],"0.3163":[275],"s.":[276],"(ResNet101)":[280],"superior":[282],"other":[285],"solving":[288],"task":[290]},"counts_by_year":[{"year":2026,"cited_by_count":3},{"year":2025,"cited_by_count":10},{"year":2024,"cited_by_count":15},{"year":2023,"cited_by_count":10},{"year":2022,"cited_by_count":10},{"year":2021,"cited_by_count":9},{"year":2020,"cited_by_count":1}],"updated_date":"2026-03-20T23:20:44.827607","created_date":"2025-10-10T00:00:00"}
