{"id":"https://openalex.org/W2903359245","doi":"https://doi.org/10.1109/mmsp.2018.8547117","title":"Video Classification of Farming Activities with Motion-Adaptive Feature Sampling","display_name":"Video Classification of Farming Activities with Motion-Adaptive Feature Sampling","publication_year":2018,"publication_date":"2018-08-01","ids":{"openalex":"https://openalex.org/W2903359245","doi":"https://doi.org/10.1109/mmsp.2018.8547117","mag":"2903359245"},"language":"en","primary_location":{"id":"doi:10.1109/mmsp.2018.8547117","is_oa":false,"landing_page_url":"https://doi.org/10.1109/mmsp.2018.8547117","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2018 IEEE 20th International Workshop on Multimedia Signal Processing (MMSP)","raw_type":"proceedings-article"},"type":"conference-paper","indexed_in":["crossref"],"open_access":{"is_oa":false,"oa_status":"closed","oa_url":null,"any_repository_has_fulltext":false},"authorships":[{"author_position":"first","author":{"id":"https://openalex.org/A5100317841","display_name":"He Liu","orcid":"https://orcid.org/0000-0001-9715-2606"},"institutions":[{"id":"https://openalex.org/I219193219","display_name":"Purdue University West Lafayette","ror":"https://ror.org/02dqehb95","country_code":"US","type":"education","lineage":["https://openalex.org/I219193219"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"He Liu","raw_affiliation_strings":["Department of Electrical and Computer Engineering, Purdue University, West Lafayette, USA"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Department of Electrical and Computer Engineering, Purdue University, West Lafayette, USA","institution_ids":["https://openalex.org/I219193219"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5084702125","display_name":"Amy R. Reibman","orcid":"https://orcid.org/0000-0003-1859-1091"},"institutions":[{"id":"https://openalex.org/I219193219","display_name":"Purdue University West Lafayette","ror":"https://ror.org/02dqehb95","country_code":"US","type":"education","lineage":["https://openalex.org/I219193219"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Amy R. Reibman","raw_affiliation_strings":["Department of Electrical and Computer Engineering, Purdue University, West Lafayette, USA"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Department of Electrical and Computer Engineering, Purdue University, West Lafayette, USA","institution_ids":["https://openalex.org/I219193219"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5044426577","display_name":"Aaron Ault","orcid":"https://orcid.org/0000-0001-7060-6559"},"institutions":[{"id":"https://openalex.org/I219193219","display_name":"Purdue University West Lafayette","ror":"https://ror.org/02dqehb95","country_code":"US","type":"education","lineage":["https://openalex.org/I219193219"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Aaron C. Ault","raw_affiliation_strings":["Department of Electrical and Computer Engineering, Purdue University, West Lafayette, USA"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Department of Electrical and Computer Engineering, Purdue University, West Lafayette, USA","institution_ids":["https://openalex.org/I219193219"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5074508621","display_name":"James V. Krogmeier","orcid":"https://orcid.org/0000-0001-7041-2113"},"institutions":[{"id":"https://openalex.org/I219193219","display_name":"Purdue University West Lafayette","ror":"https://ror.org/02dqehb95","country_code":"US","type":"education","lineage":["https://openalex.org/I219193219"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"James V. Krogmeier","raw_affiliation_strings":["Department of Electrical and Computer Engineering, Purdue University, West Lafayette, USA"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Department of Electrical and Computer Engineering, Purdue University, West Lafayette, USA","institution_ids":["https://openalex.org/I219193219"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":1,"corresponding_author_ids":[],"corresponding_institution_ids":["https://openalex.org/I219193219"],"apc_list":null,"apc_paid":null,"fwci":null,"has_fulltext":false,"cited_by_count":3,"citation_normalized_percentile":null,"cited_by_percentile_year":null,"biblio":{"volume":null,"issue":null,"first_page":"1","last_page":"6"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10812","display_name":"Human Pose and Action Recognition","score":0.9994999766349792,"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"}},"topics":[{"id":"https://openalex.org/T10812","display_name":"Human Pose and Action Recognition","score":0.9994999766349792,"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/T10331","display_name":"Video Surveillance and Tracking Methods","score":0.9987000226974487,"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/T10531","display_name":"Advanced Vision and Imaging","score":0.9965000152587891,"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"}}],"keywords":[{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.7417178750038147},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.713640570640564},{"id":"https://openalex.org/keywords/feature","display_name":"Feature (linguistics)","score":0.7064709663391113},{"id":"https://openalex.org/keywords/sampling","display_name":"Sampling (signal processing)","score":0.610749363899231},{"id":"https://openalex.org/keywords/computer-vision","display_name":"Computer vision","score":0.5471304059028625},{"id":"https://openalex.org/keywords/process","display_name":"Process (computing)","score":0.5349909663200378},{"id":"https://openalex.org/keywords/feature-extraction","display_name":"Feature extraction","score":0.5061752200126648},{"id":"https://openalex.org/keywords/motion","display_name":"Motion (physics)","score":0.5055718421936035},{"id":"https://openalex.org/keywords/adaptive-sampling","display_name":"Adaptive sampling","score":0.4740585684776306},{"id":"https://openalex.org/keywords/pattern-recognition","display_name":"Pattern recognition (psychology)","score":0.4128953814506531},{"id":"https://openalex.org/keywords/mathematics","display_name":"Mathematics","score":0.11630639433860779}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.7417178750038147},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.713640570640564},{"id":"https://openalex.org/C2776401178","wikidata":"https://www.wikidata.org/wiki/Q12050496","display_name":"Feature (linguistics)","level":2,"score":0.7064709663391113},{"id":"https://openalex.org/C140779682","wikidata":"https://www.wikidata.org/wiki/Q210868","display_name":"Sampling (signal processing)","level":3,"score":0.610749363899231},{"id":"https://openalex.org/C31972630","wikidata":"https://www.wikidata.org/wiki/Q844240","display_name":"Computer vision","level":1,"score":0.5471304059028625},{"id":"https://openalex.org/C98045186","wikidata":"https://www.wikidata.org/wiki/Q205663","display_name":"Process (computing)","level":2,"score":0.5349909663200378},{"id":"https://openalex.org/C52622490","wikidata":"https://www.wikidata.org/wiki/Q1026626","display_name":"Feature extraction","level":2,"score":0.5061752200126648},{"id":"https://openalex.org/C104114177","wikidata":"https://www.wikidata.org/wiki/Q79782","display_name":"Motion (physics)","level":2,"score":0.5055718421936035},{"id":"https://openalex.org/C2781395549","wikidata":"https://www.wikidata.org/wiki/Q4680762","display_name":"Adaptive sampling","level":3,"score":0.4740585684776306},{"id":"https://openalex.org/C153180895","wikidata":"https://www.wikidata.org/wiki/Q7148389","display_name":"Pattern recognition (psychology)","level":2,"score":0.4128953814506531},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.11630639433860779},{"id":"https://openalex.org/C106131492","wikidata":"https://www.wikidata.org/wiki/Q3072260","display_name":"Filter (signal processing)","level":2,"score":0.0},{"id":"https://openalex.org/C105795698","wikidata":"https://www.wikidata.org/wiki/Q12483","display_name":"Statistics","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},{"id":"https://openalex.org/C138885662","wikidata":"https://www.wikidata.org/wiki/Q5891","display_name":"Philosophy","level":0,"score":0.0},{"id":"https://openalex.org/C19499675","wikidata":"https://www.wikidata.org/wiki/Q232207","display_name":"Monte Carlo method","level":2,"score":0.0},{"id":"https://openalex.org/C111919701","wikidata":"https://www.wikidata.org/wiki/Q9135","display_name":"Operating system","level":1,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/mmsp.2018.8547117","is_oa":false,"landing_page_url":"https://doi.org/10.1109/mmsp.2018.8547117","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2018 IEEE 20th International Workshop on Multimedia Signal Processing (MMSP)","raw_type":"proceedings-article"}],"best_oa_location":null,"sustainable_development_goals":[],"awards":[],"funders":[],"has_content":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":30,"referenced_works":["https://openalex.org/W24089286","https://openalex.org/W65124300","https://openalex.org/W1498368596","https://openalex.org/W1595717062","https://openalex.org/W1606858007","https://openalex.org/W1871385855","https://openalex.org/W1988192097","https://openalex.org/W1991598519","https://openalex.org/W1993229407","https://openalex.org/W2016053056","https://openalex.org/W2017814585","https://openalex.org/W2058537326","https://openalex.org/W2066941820","https://openalex.org/W2100916003","https://openalex.org/W2101234009","https://openalex.org/W2105101328","https://openalex.org/W2126574503","https://openalex.org/W2126579184","https://openalex.org/W2142194269","https://openalex.org/W2156303437","https://openalex.org/W2161969291","https://openalex.org/W2471378045","https://openalex.org/W2533739470","https://openalex.org/W2732026016","https://openalex.org/W6630009274","https://openalex.org/W6635755983","https://openalex.org/W6636412649","https://openalex.org/W6648464962","https://openalex.org/W6675354045","https://openalex.org/W6682864246"],"related_works":["https://openalex.org/W2038693912","https://openalex.org/W1991602789","https://openalex.org/W1582396021","https://openalex.org/W1988359706","https://openalex.org/W312558119","https://openalex.org/W4210985407","https://openalex.org/W2335441444","https://openalex.org/W138014004","https://openalex.org/W2075598034","https://openalex.org/W2984441180"],"abstract_inverted_index":{"Recently,":[0],"video":[1,20,50],"has":[2],"been":[3],"applied":[4,131],"in":[5],"different":[6,81],"industrial":[7],"applications":[8],"including":[9],"autonomous":[10,16],"driving":[11],"vehicles.":[12],"However,":[13],"to":[14,35,122,132],"develop":[15],"farming":[17,27,42,123],"vehicles,":[18],"the":[19,37,108,113,117],"analysis":[21],"must":[22],"be":[23,130],"targeted":[24],"for":[25,70],"specific":[26,41],"activities.":[28],"So":[29],"an":[30],"important":[31],"first":[32],"step":[33],"is":[34,68],"classify":[36,133],"videos":[38,59,72,134],"into":[39,73],"their":[40,63],"activity.":[43],"In":[44,120],"this":[45,125],"paper,":[46],"we":[47],"propose":[48],"a":[49],"classification":[51,100,114],"framework":[52],"that":[53,57,88],"includes":[54],"two":[55,74,89],"branches":[56],"process":[58],"differently":[60],"based":[61],"on":[62],"motions.":[64],"A":[65],"gradient-based":[66],"method":[67],"proposed":[69,126],"separating":[71],"subsets":[75],"which":[76],"are":[77,102],"then":[78],"processed":[79],"by":[80],"feature":[82,91,109],"sampling":[83,92,110],"strategies.":[84],"The":[85],"result":[86],"shows":[87],"motion-based":[90],"strategies":[93],"provide":[94],"more":[95],"efficient":[96],"features;":[97],"thus":[98],"better":[99],"performances":[101],"achieved.":[103],"We":[104],"also":[105,129],"discuss":[106],"how":[107],"strategy":[111],"influences":[112],"accuracy":[115],"and":[116],"computational":[118],"efficiency.":[119],"addition":[121],"videos,":[124],"system":[127],"can":[128],"captured":[135],"from":[136],"various":[137],"camera":[138],"movements,":[139],"such":[140],"as":[141],"hand-held":[142],"or":[143],"first-person":[144],"cameras.":[145]},"counts_by_year":[{"year":2021,"cited_by_count":1},{"year":2020,"cited_by_count":1},{"year":2019,"cited_by_count":1}],"updated_date":"2026-07-14T23:27:15.235271","created_date":"2025-10-10T00:00:00"}