{"id":"https://openalex.org/W2990573491","doi":"https://doi.org/10.1109/avss.2019.8909855","title":"Real-Time Video-Based Person Re-Identification Surveillance with Light-Weight Deep Convolutional Networks","display_name":"Real-Time Video-Based Person Re-Identification Surveillance with Light-Weight Deep Convolutional Networks","publication_year":2019,"publication_date":"2019-09-01","ids":{"openalex":"https://openalex.org/W2990573491","doi":"https://doi.org/10.1109/avss.2019.8909855","mag":"2990573491"},"language":"en","primary_location":{"id":"doi:10.1109/avss.2019.8909855","is_oa":false,"landing_page_url":"https://doi.org/10.1109/avss.2019.8909855","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2019 16th IEEE International Conference on Advanced Video and Signal Based Surveillance (AVSS)","raw_type":"proceedings-article"},"type":"article","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/A5072470661","display_name":"Chien-Yao Wang","orcid":"https://orcid.org/0000-0002-2946-8972"},"institutions":[{"id":"https://openalex.org/I4210098366","display_name":"Institute of Information Science, Academia Sinica","ror":"https://ror.org/00z83z196","country_code":"TW","type":"facility","lineage":["https://openalex.org/I4210098366","https://openalex.org/I84653119"]}],"countries":["TW"],"is_corresponding":true,"raw_author_name":"Chien-Yao Wang","raw_affiliation_strings":["Institute of Information Science, Academia Sinica, Taiwan"],"affiliations":[{"raw_affiliation_string":"Institute of Information Science, Academia Sinica, Taiwan","institution_ids":["https://openalex.org/I4210098366"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5101834543","display_name":"Ping-Yang Chen","orcid":"https://orcid.org/0000-0002-9834-3671"},"institutions":[{"id":"https://openalex.org/I153512688","display_name":"National Taiwan Ocean University","ror":"https://ror.org/03bvvnt49","country_code":"TW","type":"education","lineage":["https://openalex.org/I153512688"]}],"countries":["TW"],"is_corresponding":false,"raw_author_name":"Ping-Yang Chen","raw_affiliation_strings":["Department of Computer Science and Engineering, National Taiwan Ocean University"],"affiliations":[{"raw_affiliation_string":"Department of Computer Science and Engineering, National Taiwan Ocean University","institution_ids":["https://openalex.org/I153512688"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5109442502","display_name":"Ming\u2010Chiao Chen","orcid":null},"institutions":[{"id":"https://openalex.org/I153512688","display_name":"National Taiwan Ocean University","ror":"https://ror.org/03bvvnt49","country_code":"TW","type":"education","lineage":["https://openalex.org/I153512688"]}],"countries":["TW"],"is_corresponding":false,"raw_author_name":"Ming-Chiao Chen","raw_affiliation_strings":["Department of Computer Science and Information Engineering, National Taiwan Ocean University"],"affiliations":[{"raw_affiliation_string":"Department of Computer Science and Information Engineering, National Taiwan Ocean University","institution_ids":["https://openalex.org/I153512688"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5102750792","display_name":"Jun-Wei Hsieh","orcid":"https://orcid.org/0000-0002-2191-2637"},"institutions":[{"id":"https://openalex.org/I153512688","display_name":"National Taiwan Ocean University","ror":"https://ror.org/03bvvnt49","country_code":"TW","type":"education","lineage":["https://openalex.org/I153512688"]}],"countries":["TW"],"is_corresponding":false,"raw_author_name":"Jun-Wei Hsieh","raw_affiliation_strings":["Department of Computer Science and Engineering, National Taiwan Ocean University"],"affiliations":[{"raw_affiliation_string":"Department of Computer Science and Engineering, National Taiwan Ocean University","institution_ids":["https://openalex.org/I153512688"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5108538229","display_name":"Hong-Yuan Mark Liao","orcid":null},"institutions":[{"id":"https://openalex.org/I4210098366","display_name":"Institute of Information Science, Academia Sinica","ror":"https://ror.org/00z83z196","country_code":"TW","type":"facility","lineage":["https://openalex.org/I4210098366","https://openalex.org/I84653119"]}],"countries":["TW"],"is_corresponding":false,"raw_author_name":"Hong-Yuan Mark Liao","raw_affiliation_strings":["Institute of Information Science, Academia Sinica, Taiwan"],"affiliations":[{"raw_affiliation_string":"Institute of Information Science, Academia Sinica, Taiwan","institution_ids":["https://openalex.org/I4210098366"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":5,"corresponding_author_ids":["https://openalex.org/A5072470661"],"corresponding_institution_ids":["https://openalex.org/I4210098366"],"apc_list":null,"apc_paid":null,"fwci":0.3037,"has_fulltext":false,"cited_by_count":7,"citation_normalized_percentile":{"value":0.61630247,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":89,"max":96},"biblio":{"volume":null,"issue":null,"first_page":"1","last_page":"8"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10331","display_name":"Video Surveillance and Tracking Methods","score":1.0,"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/T10331","display_name":"Video Surveillance and Tracking Methods","score":1.0,"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/T10812","display_name":"Human Pose and Action Recognition","score":0.9980000257492065,"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/T12597","display_name":"Fire Detection and Safety Systems","score":0.9933000206947327,"subfield":{"id":"https://openalex.org/subfields/2213","display_name":"Safety, Risk, Reliability and Quality"},"field":{"id":"https://openalex.org/fields/22","display_name":"Engineering"},"domain":{"id":"https://openalex.org/domains/3","display_name":"Physical Sciences"}}],"keywords":[{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.8538963794708252},{"id":"https://openalex.org/keywords/robustness","display_name":"Robustness (evolution)","score":0.7633196115493774},{"id":"https://openalex.org/keywords/focus","display_name":"Focus (optics)","score":0.5482637286186218},{"id":"https://openalex.org/keywords/pipeline","display_name":"Pipeline (software)","score":0.524630606174469},{"id":"https://openalex.org/keywords/computation","display_name":"Computation","score":0.5194905996322632},{"id":"https://openalex.org/keywords/pedestrian-detection","display_name":"Pedestrian detection","score":0.509463369846344},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.5084713697433472},{"id":"https://openalex.org/keywords/identification","display_name":"Identification (biology)","score":0.4755111336708069},{"id":"https://openalex.org/keywords/real-time-computing","display_name":"Real-time computing","score":0.4601270854473114},{"id":"https://openalex.org/keywords/computer-vision","display_name":"Computer vision","score":0.3969755172729492},{"id":"https://openalex.org/keywords/pedestrian","display_name":"Pedestrian","score":0.2485099732875824},{"id":"https://openalex.org/keywords/algorithm","display_name":"Algorithm","score":0.09367209672927856}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.8538963794708252},{"id":"https://openalex.org/C63479239","wikidata":"https://www.wikidata.org/wiki/Q7353546","display_name":"Robustness (evolution)","level":3,"score":0.7633196115493774},{"id":"https://openalex.org/C192209626","wikidata":"https://www.wikidata.org/wiki/Q190909","display_name":"Focus (optics)","level":2,"score":0.5482637286186218},{"id":"https://openalex.org/C43521106","wikidata":"https://www.wikidata.org/wiki/Q2165493","display_name":"Pipeline (software)","level":2,"score":0.524630606174469},{"id":"https://openalex.org/C45374587","wikidata":"https://www.wikidata.org/wiki/Q12525525","display_name":"Computation","level":2,"score":0.5194905996322632},{"id":"https://openalex.org/C2780156472","wikidata":"https://www.wikidata.org/wiki/Q2355550","display_name":"Pedestrian detection","level":3,"score":0.509463369846344},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.5084713697433472},{"id":"https://openalex.org/C116834253","wikidata":"https://www.wikidata.org/wiki/Q2039217","display_name":"Identification (biology)","level":2,"score":0.4755111336708069},{"id":"https://openalex.org/C79403827","wikidata":"https://www.wikidata.org/wiki/Q3988","display_name":"Real-time computing","level":1,"score":0.4601270854473114},{"id":"https://openalex.org/C31972630","wikidata":"https://www.wikidata.org/wiki/Q844240","display_name":"Computer vision","level":1,"score":0.3969755172729492},{"id":"https://openalex.org/C2777113093","wikidata":"https://www.wikidata.org/wiki/Q221488","display_name":"Pedestrian","level":2,"score":0.2485099732875824},{"id":"https://openalex.org/C11413529","wikidata":"https://www.wikidata.org/wiki/Q8366","display_name":"Algorithm","level":1,"score":0.09367209672927856},{"id":"https://openalex.org/C185592680","wikidata":"https://www.wikidata.org/wiki/Q2329","display_name":"Chemistry","level":0,"score":0.0},{"id":"https://openalex.org/C59822182","wikidata":"https://www.wikidata.org/wiki/Q441","display_name":"Botany","level":1,"score":0.0},{"id":"https://openalex.org/C104317684","wikidata":"https://www.wikidata.org/wiki/Q7187","display_name":"Gene","level":2,"score":0.0},{"id":"https://openalex.org/C120665830","wikidata":"https://www.wikidata.org/wiki/Q14620","display_name":"Optics","level":1,"score":0.0},{"id":"https://openalex.org/C127413603","wikidata":"https://www.wikidata.org/wiki/Q11023","display_name":"Engineering","level":0,"score":0.0},{"id":"https://openalex.org/C55493867","wikidata":"https://www.wikidata.org/wiki/Q7094","display_name":"Biochemistry","level":1,"score":0.0},{"id":"https://openalex.org/C199360897","wikidata":"https://www.wikidata.org/wiki/Q9143","display_name":"Programming language","level":1,"score":0.0},{"id":"https://openalex.org/C22212356","wikidata":"https://www.wikidata.org/wiki/Q775325","display_name":"Transport engineering","level":1,"score":0.0},{"id":"https://openalex.org/C86803240","wikidata":"https://www.wikidata.org/wiki/Q420","display_name":"Biology","level":0,"score":0.0},{"id":"https://openalex.org/C121332964","wikidata":"https://www.wikidata.org/wiki/Q413","display_name":"Physics","level":0,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/avss.2019.8909855","is_oa":false,"landing_page_url":"https://doi.org/10.1109/avss.2019.8909855","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2019 16th IEEE International Conference on Advanced Video and Signal Based Surveillance (AVSS)","raw_type":"proceedings-article"}],"best_oa_location":null,"sustainable_development_goals":[],"awards":[],"funders":[],"has_content":{"grobid_xml":false,"pdf":false},"content_urls":null,"referenced_works_count":30,"referenced_works":["https://openalex.org/W1602182271","https://openalex.org/W1861492603","https://openalex.org/W1982925187","https://openalex.org/W2095705004","https://openalex.org/W2115579991","https://openalex.org/W2161969291","https://openalex.org/W2163605009","https://openalex.org/W2204750386","https://openalex.org/W2291627510","https://openalex.org/W2598634450","https://openalex.org/W2747685395","https://openalex.org/W2769346661","https://openalex.org/W2796347433","https://openalex.org/W2796364723","https://openalex.org/W2798542761","https://openalex.org/W2798718722","https://openalex.org/W2890159224","https://openalex.org/W2901862901","https://openalex.org/W2962923976","https://openalex.org/W2962926870","https://openalex.org/W2962944050","https://openalex.org/W2963289251","https://openalex.org/W2998508940","https://openalex.org/W4293584584","https://openalex.org/W6636160605","https://openalex.org/W6639102338","https://openalex.org/W6674330103","https://openalex.org/W6684191040","https://openalex.org/W6750039409","https://openalex.org/W6754663736"],"related_works":["https://openalex.org/W2624903463","https://openalex.org/W3207051105","https://openalex.org/W2093384100","https://openalex.org/W4386960967","https://openalex.org/W4313452767","https://openalex.org/W2083896825","https://openalex.org/W2994634013","https://openalex.org/W2802018156","https://openalex.org/W4290774787","https://openalex.org/W4293107029"],"abstract_inverted_index":{"Today's":[0],"person":[1,32,56,88,121],"re-ID":[2,33,57,89,122],"system":[3,58,66,81,109,140,155],"mostly":[4],"focuses":[5],"on":[6],"accuracy":[7],"and":[8,27,77,87,102,125,132],"ignores":[9],"efficiency.":[10],"But":[11],"in":[12,70,152],"most":[13,22,43],"real-world":[14],"surveillance":[15,167],"systems,":[16],"efficiency":[17],"is":[18,41],"often":[19],"considered":[20],"the":[21,35,42,60,113,119,129,134,143],"important":[23,44],"focus":[24],"of":[25,94,99,105,136,172],"research":[26],"development.":[28],"Therefore,":[29],"for":[30],"a":[31,51,71,159],"system,":[34],"ability":[36],"to":[37,162],"perform":[38],"real-time":[39,52],"identification":[40],"consideration.":[45],"In":[46,117],"this":[47],"study,":[48],"we":[49],"implemented":[50],"multiple":[53,148],"camera":[54],"video-based":[55],"using":[59],"NVIDIA":[61],"Jetson":[62],"TX2":[63],"platform.":[64],"This":[65,80],"can":[67,156,176],"be":[68,177],"used":[69],"field":[72],"that":[73],"requires":[74],"high":[75],"privacy":[76],"immediate":[78],"monitoring.":[79],"uses":[82],"YOLOv3-tiny":[83],"based":[84],"light-weight":[85],"strategies":[86],"technology,":[90],"thus":[91],"reducing":[92],"46%":[93],"computation,":[95],"cutting":[96],"down":[97],"39.9%":[98],"model":[100],"size,":[101],"accelerating":[103],"21%":[104],"computing":[106,150],"speed.":[107],"The":[108,154,170],"also":[110,141],"effectively":[111],"upgrades":[112],"pedestrian":[114],"detection":[115],"accuracy.":[116],"addition,":[118],"proposed":[120],"example":[123],"mining":[124],"training":[126],"method":[127],"improves":[128],"model's":[130],"performance":[131],"enhances":[133],"robustness":[135],"cross-domain":[137],"data.":[138],"Our":[139],"supports":[142],"pipeline":[144],"formed":[145],"by":[146],"connecting":[147],"edge":[149],"devices":[151],"series.":[153],"operate":[157],"at":[158,165,179],"speed":[160],"up":[161],"18":[163],"fps":[164],"1920\u00d71080":[166],"video":[168],"stream.":[169],"demo":[171],"our":[173],"developed":[174],"systems":[175],"found":[178],"https://sites.google.com/g.ncu.edu.tw/video-based-person-re-id/.":[180]},"counts_by_year":[{"year":2025,"cited_by_count":2},{"year":2023,"cited_by_count":2},{"year":2021,"cited_by_count":2},{"year":2020,"cited_by_count":1}],"updated_date":"2025-11-06T03:46:38.306776","created_date":"2025-10-10T00:00:00"}
