{"id":"https://openalex.org/W3093083625","doi":"https://doi.org/10.1145/3394171.3416304","title":"A Strong Baseline for Multiple Object Tracking on VidOR Dataset","display_name":"A Strong Baseline for Multiple Object Tracking on VidOR Dataset","publication_year":2020,"publication_date":"2020-10-12","ids":{"openalex":"https://openalex.org/W3093083625","doi":"https://doi.org/10.1145/3394171.3416304","mag":"3093083625"},"language":"en","primary_location":{"id":"doi:10.1145/3394171.3416304","is_oa":false,"landing_page_url":"https://doi.org/10.1145/3394171.3416304","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Proceedings of the 28th ACM International Conference on Multimedia","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/A5031606307","display_name":"Zhipeng Luo","orcid":"https://orcid.org/0000-0001-9994-9678"},"institutions":[{"id":"https://openalex.org/I4401726871","display_name":"Deepblue Technology (China)","ror":"https://ror.org/01n015v70","country_code":null,"type":"company","lineage":["https://openalex.org/I4401726871"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Zhipeng Luo","raw_affiliation_strings":["DeepBlue Technology (Shanghai) Co, Ltd, Shanghai, China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"DeepBlue Technology (Shanghai) Co, Ltd, Shanghai, China","institution_ids":["https://openalex.org/I4401726871"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5102004114","display_name":"Zhiguang Zhang","orcid":"https://orcid.org/0000-0002-8203-118X"},"institutions":[{"id":"https://openalex.org/I4401726871","display_name":"Deepblue Technology (China)","ror":"https://ror.org/01n015v70","country_code":null,"type":"company","lineage":["https://openalex.org/I4401726871"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Zhiguang Zhang","raw_affiliation_strings":["DeepBlue Technology (Shanghai) Co, Ltd, Shanghai, China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"DeepBlue Technology (Shanghai) Co, Ltd, Shanghai, China","institution_ids":["https://openalex.org/I4401726871"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5069914257","display_name":"Yuehan Yao","orcid":"https://orcid.org/0000-0003-4697-7039"},"institutions":[{"id":"https://openalex.org/I4401726871","display_name":"Deepblue Technology (China)","ror":"https://ror.org/01n015v70","country_code":null,"type":"company","lineage":["https://openalex.org/I4401726871"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Yuehan Yao","raw_affiliation_strings":["DeepBlue Technology (Shanghai) Co, Ltd, Shanghai, China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"DeepBlue Technology (Shanghai) Co, Ltd, Shanghai, China","institution_ids":["https://openalex.org/I4401726871"]}]}],"institutions":[],"countries_distinct_count":0,"institutions_distinct_count":1,"corresponding_author_ids":[],"corresponding_institution_ids":["https://openalex.org/I4401726871"],"apc_list":null,"apc_paid":null,"fwci":0.0854,"has_fulltext":false,"cited_by_count":2,"citation_normalized_percentile":{"value":0.34808116,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":89,"max":95},"biblio":{"volume":null,"issue":null,"first_page":"4595","last_page":"4599"},"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/T10627","display_name":"Advanced Image and Video Retrieval Techniques","score":0.9991999864578247,"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/T11448","display_name":"Face recognition and analysis","score":0.9991000294685364,"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":0.787885308265686},{"id":"https://openalex.org/keywords/video-tracking","display_name":"Video tracking","score":0.7848633527755737},{"id":"https://openalex.org/keywords/bounding-overwatch","display_name":"Bounding overwatch","score":0.747247576713562},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.7350937724113464},{"id":"https://openalex.org/keywords/minimum-bounding-box","display_name":"Minimum bounding box","score":0.6650354862213135},{"id":"https://openalex.org/keywords/object","display_name":"Object (grammar)","score":0.6503415107727051},{"id":"https://openalex.org/keywords/baseline","display_name":"Baseline (sea)","score":0.6402546167373657},{"id":"https://openalex.org/keywords/computer-vision","display_name":"Computer vision","score":0.6253402233123779},{"id":"https://openalex.org/keywords/frame","display_name":"Frame (networking)","score":0.6096324324607849},{"id":"https://openalex.org/keywords/tracking","display_name":"Tracking (education)","score":0.600767195224762},{"id":"https://openalex.org/keywords/task","display_name":"Task (project management)","score":0.5883651375770569},{"id":"https://openalex.org/keywords/trajectory","display_name":"Trajectory","score":0.5602744817733765},{"id":"https://openalex.org/keywords/metric","display_name":"Metric (unit)","score":0.5590107440948486},{"id":"https://openalex.org/keywords/object-detection","display_name":"Object detection","score":0.5564336776733398},{"id":"https://openalex.org/keywords/pattern-recognition","display_name":"Pattern recognition (psychology)","score":0.27431172132492065},{"id":"https://openalex.org/keywords/image","display_name":"Image (mathematics)","score":0.13300922513008118},{"id":"https://openalex.org/keywords/engineering","display_name":"Engineering","score":0.060038238763809204}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.787885308265686},{"id":"https://openalex.org/C202474056","wikidata":"https://www.wikidata.org/wiki/Q1931635","display_name":"Video tracking","level":3,"score":0.7848633527755737},{"id":"https://openalex.org/C63584917","wikidata":"https://www.wikidata.org/wiki/Q333286","display_name":"Bounding overwatch","level":2,"score":0.747247576713562},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.7350937724113464},{"id":"https://openalex.org/C147037132","wikidata":"https://www.wikidata.org/wiki/Q6865426","display_name":"Minimum bounding box","level":3,"score":0.6650354862213135},{"id":"https://openalex.org/C2781238097","wikidata":"https://www.wikidata.org/wiki/Q175026","display_name":"Object (grammar)","level":2,"score":0.6503415107727051},{"id":"https://openalex.org/C12725497","wikidata":"https://www.wikidata.org/wiki/Q810247","display_name":"Baseline (sea)","level":2,"score":0.6402546167373657},{"id":"https://openalex.org/C31972630","wikidata":"https://www.wikidata.org/wiki/Q844240","display_name":"Computer vision","level":1,"score":0.6253402233123779},{"id":"https://openalex.org/C126042441","wikidata":"https://www.wikidata.org/wiki/Q1324888","display_name":"Frame (networking)","level":2,"score":0.6096324324607849},{"id":"https://openalex.org/C2775936607","wikidata":"https://www.wikidata.org/wiki/Q466845","display_name":"Tracking (education)","level":2,"score":0.600767195224762},{"id":"https://openalex.org/C2780451532","wikidata":"https://www.wikidata.org/wiki/Q759676","display_name":"Task (project management)","level":2,"score":0.5883651375770569},{"id":"https://openalex.org/C13662910","wikidata":"https://www.wikidata.org/wiki/Q193139","display_name":"Trajectory","level":2,"score":0.5602744817733765},{"id":"https://openalex.org/C176217482","wikidata":"https://www.wikidata.org/wiki/Q860554","display_name":"Metric (unit)","level":2,"score":0.5590107440948486},{"id":"https://openalex.org/C2776151529","wikidata":"https://www.wikidata.org/wiki/Q3045304","display_name":"Object detection","level":3,"score":0.5564336776733398},{"id":"https://openalex.org/C153180895","wikidata":"https://www.wikidata.org/wiki/Q7148389","display_name":"Pattern recognition (psychology)","level":2,"score":0.27431172132492065},{"id":"https://openalex.org/C115961682","wikidata":"https://www.wikidata.org/wiki/Q860623","display_name":"Image (mathematics)","level":2,"score":0.13300922513008118},{"id":"https://openalex.org/C127413603","wikidata":"https://www.wikidata.org/wiki/Q11023","display_name":"Engineering","level":0,"score":0.060038238763809204},{"id":"https://openalex.org/C76155785","wikidata":"https://www.wikidata.org/wiki/Q418","display_name":"Telecommunications","level":1,"score":0.0},{"id":"https://openalex.org/C111368507","wikidata":"https://www.wikidata.org/wiki/Q43518","display_name":"Oceanography","level":1,"score":0.0},{"id":"https://openalex.org/C15744967","wikidata":"https://www.wikidata.org/wiki/Q9418","display_name":"Psychology","level":0,"score":0.0},{"id":"https://openalex.org/C1276947","wikidata":"https://www.wikidata.org/wiki/Q333","display_name":"Astronomy","level":1,"score":0.0},{"id":"https://openalex.org/C21547014","wikidata":"https://www.wikidata.org/wiki/Q1423657","display_name":"Operations management","level":1,"score":0.0},{"id":"https://openalex.org/C121332964","wikidata":"https://www.wikidata.org/wiki/Q413","display_name":"Physics","level":0,"score":0.0},{"id":"https://openalex.org/C19417346","wikidata":"https://www.wikidata.org/wiki/Q7922","display_name":"Pedagogy","level":1,"score":0.0},{"id":"https://openalex.org/C201995342","wikidata":"https://www.wikidata.org/wiki/Q682496","display_name":"Systems engineering","level":1,"score":0.0},{"id":"https://openalex.org/C127313418","wikidata":"https://www.wikidata.org/wiki/Q1069","display_name":"Geology","level":0,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1145/3394171.3416304","is_oa":false,"landing_page_url":"https://doi.org/10.1145/3394171.3416304","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Proceedings of the 28th ACM International Conference on Multimedia","raw_type":"proceedings-article"}],"best_oa_location":null,"sustainable_development_goals":[{"display_name":"Reduced inequalities","id":"https://metadata.un.org/sdg/10","score":0.550000011920929}],"awards":[],"funders":[],"has_content":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":17,"referenced_works":["https://openalex.org/W2096733369","https://openalex.org/W2138621090","https://openalex.org/W2549139847","https://openalex.org/W2601564443","https://openalex.org/W2743706233","https://openalex.org/W2772955562","https://openalex.org/W2884366600","https://openalex.org/W2921310091","https://openalex.org/W2949533892","https://openalex.org/W2949650786","https://openalex.org/W2952967169","https://openalex.org/W2953106684","https://openalex.org/W2963179609","https://openalex.org/W2963849369","https://openalex.org/W2967515867","https://openalex.org/W3099206234","https://openalex.org/W6760400556"],"related_works":["https://openalex.org/W4237171675","https://openalex.org/W3036286480","https://openalex.org/W4287027631","https://openalex.org/W3192357901","https://openalex.org/W2387360586","https://openalex.org/W2952736415","https://openalex.org/W3209723314","https://openalex.org/W3205398323","https://openalex.org/W2883297582","https://openalex.org/W4390524233"],"abstract_inverted_index":{"This":[0],"paper":[1],"explores":[2],"a":[3,22,51,71,81,86],"simple":[4],"and":[5,10,60,64,92],"efficient":[6],"baseline":[7],"for":[8,70],"multi-class":[9],"multiple":[11],"objects":[12,30],"tracking":[13,96],"on":[14],"VidOR":[15],"dataset.":[16],"The":[17,53],"task":[18],"is":[19],"to":[20,75,98],"build":[21],"robust":[23,82],"object":[24,48,69,103],"tracker":[25],"that":[26,44],"not":[27],"only":[28],"localize":[29],"with":[31],"bounding":[32,42],"boxes":[33,43],"in":[34],"every":[35],"video":[36,102],"frame":[37],"but":[38],"also":[39],"link":[40],"the":[41,46,57,65,68,76,101],"indicate":[45],"same":[47],"entity":[49],"into":[50],"trajectory.":[52],"task's":[54],"challenges":[55],"are":[56],"low":[58],"resolution":[59],"imbalance":[61],"of":[62,67],"data":[63],"disappearance":[66],"long":[72],"time.":[73],"According":[74],"above":[77],"characteristics,":[78],"we":[79],"design":[80],"detection":[83,104],"model,":[84],"proposed":[85],"new":[87],"deep":[88],"metric":[89],"learning":[90],"method,":[91],"explored":[93],"some":[94],"useful":[95],"algorithms":[97],"help":[99],"complete":[100],"task.":[105]},"counts_by_year":[{"year":2025,"cited_by_count":1},{"year":2022,"cited_by_count":1}],"updated_date":"2026-07-29T14:22:42.915294","created_date":"2025-10-10T00:00:00"}
