{"id":"https://openalex.org/W4221158054","doi":"https://doi.org/10.1109/icmew56448.2022.9859481","title":"PAMI-AD: An Activity Detector Exploiting Part-Attention and Motion Information in Surveillance Videos","display_name":"PAMI-AD: An Activity Detector Exploiting Part-Attention and Motion Information in Surveillance Videos","publication_year":2022,"publication_date":"2022-07-18","ids":{"openalex":"https://openalex.org/W4221158054","doi":"https://doi.org/10.1109/icmew56448.2022.9859481"},"language":"en","primary_location":{"id":"doi:10.1109/icmew56448.2022.9859481","is_oa":false,"landing_page_url":"https://doi.org/10.1109/icmew56448.2022.9859481","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2022 IEEE International Conference on Multimedia and Expo Workshops (ICMEW)","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/A5060412157","display_name":"Yunhao Du","orcid":null},"institutions":[{"id":"https://openalex.org/I139759216","display_name":"Beijing University of Posts and Telecommunications","ror":"https://ror.org/04w9fbh59","country_code":"CN","type":"education","lineage":["https://openalex.org/I139759216"]}],"countries":["CN"],"is_corresponding":true,"raw_author_name":"Yunhao Du","raw_affiliation_strings":["Beijing University of Posts and Telecommunications"],"affiliations":[{"raw_affiliation_string":"Beijing University of Posts and Telecommunications","institution_ids":["https://openalex.org/I139759216"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5008155482","display_name":"Zhihang Tong","orcid":null},"institutions":[{"id":"https://openalex.org/I139759216","display_name":"Beijing University of Posts and Telecommunications","ror":"https://ror.org/04w9fbh59","country_code":"CN","type":"education","lineage":["https://openalex.org/I139759216"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Zhihang Tong","raw_affiliation_strings":["Beijing University of Posts and Telecommunications"],"affiliations":[{"raw_affiliation_string":"Beijing University of Posts and Telecommunications","institution_ids":["https://openalex.org/I139759216"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5102613277","display_name":"Junfeng Wan","orcid":null},"institutions":[{"id":"https://openalex.org/I139759216","display_name":"Beijing University of Posts and Telecommunications","ror":"https://ror.org/04w9fbh59","country_code":"CN","type":"education","lineage":["https://openalex.org/I139759216"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Junfeng Wan","raw_affiliation_strings":["Beijing University of Posts and Telecommunications"],"affiliations":[{"raw_affiliation_string":"Beijing University of Posts and Telecommunications","institution_ids":["https://openalex.org/I139759216"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5081329968","display_name":"Binyu Zhang","orcid":"https://orcid.org/0000-0001-5316-6301"},"institutions":[{"id":"https://openalex.org/I139759216","display_name":"Beijing University of Posts and Telecommunications","ror":"https://ror.org/04w9fbh59","country_code":"CN","type":"education","lineage":["https://openalex.org/I139759216"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Binyu Zhang","raw_affiliation_strings":["Beijing University of Posts and Telecommunications"],"affiliations":[{"raw_affiliation_string":"Beijing University of Posts and Telecommunications","institution_ids":["https://openalex.org/I139759216"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5060000038","display_name":"Yanyun Zhao","orcid":"https://orcid.org/0000-0003-4176-0260"},"institutions":[{"id":"https://openalex.org/I139759216","display_name":"Beijing University of Posts and Telecommunications","ror":"https://ror.org/04w9fbh59","country_code":"CN","type":"education","lineage":["https://openalex.org/I139759216"]},{"id":"https://openalex.org/I4210108629","display_name":"Computer Network Information Center","ror":"https://ror.org/01s0wyf50","country_code":"CN","type":"facility","lineage":["https://openalex.org/I19820366","https://openalex.org/I4210108629"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Yanyun Zhao","raw_affiliation_strings":["Beijing University of Posts and Telecommunications","Beijing Key Laboratory of Network System and Network Culture, China"],"affiliations":[{"raw_affiliation_string":"Beijing University of Posts and Telecommunications","institution_ids":["https://openalex.org/I139759216"]},{"raw_affiliation_string":"Beijing Key Laboratory of Network System and Network Culture, China","institution_ids":["https://openalex.org/I4210108629"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":5,"corresponding_author_ids":["https://openalex.org/A5060412157"],"corresponding_institution_ids":["https://openalex.org/I139759216"],"apc_list":null,"apc_paid":null,"fwci":0.2015,"has_fulltext":false,"cited_by_count":2,"citation_normalized_percentile":{"value":0.44735175,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":94,"max":96},"biblio":{"volume":"28","issue":null,"first_page":"1","last_page":"6"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10331","display_name":"Video Surveillance and Tracking Methods","score":0.9997000098228455,"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":0.9997000098228455,"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":0.9994999766349792,"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/T11512","display_name":"Anomaly Detection Techniques and Applications","score":0.9969000220298767,"subfield":{"id":"https://openalex.org/subfields/1702","display_name":"Artificial Intelligence"},"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":0.8258680105209351},{"id":"https://openalex.org/keywords/encode","display_name":"ENCODE","score":0.7274917364120483},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.664505660533905},{"id":"https://openalex.org/keywords/classifier","display_name":"Classifier (UML)","score":0.6423466205596924},{"id":"https://openalex.org/keywords/activity-detection","display_name":"Activity detection","score":0.6412934064865112},{"id":"https://openalex.org/keywords/activity-recognition","display_name":"Activity recognition","score":0.5960391759872437},{"id":"https://openalex.org/keywords/motion","display_name":"Motion (physics)","score":0.46343833208084106},{"id":"https://openalex.org/keywords/detector","display_name":"Detector","score":0.4614729881286621},{"id":"https://openalex.org/keywords/computer-vision","display_name":"Computer vision","score":0.457058846950531},{"id":"https://openalex.org/keywords/object-detection","display_name":"Object detection","score":0.4442009925842285},{"id":"https://openalex.org/keywords/masking","display_name":"Masking (illustration)","score":0.43580561876296997},{"id":"https://openalex.org/keywords/task","display_name":"Task (project management)","score":0.42555394768714905},{"id":"https://openalex.org/keywords/filter","display_name":"Filter (signal processing)","score":0.4119028151035309},{"id":"https://openalex.org/keywords/machine-learning","display_name":"Machine learning","score":0.3751847743988037},{"id":"https://openalex.org/keywords/pattern-recognition","display_name":"Pattern recognition (psychology)","score":0.33904287219047546}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.8258680105209351},{"id":"https://openalex.org/C66746571","wikidata":"https://www.wikidata.org/wiki/Q1134833","display_name":"ENCODE","level":3,"score":0.7274917364120483},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.664505660533905},{"id":"https://openalex.org/C95623464","wikidata":"https://www.wikidata.org/wiki/Q1096149","display_name":"Classifier (UML)","level":2,"score":0.6423466205596924},{"id":"https://openalex.org/C2988656282","wikidata":"https://www.wikidata.org/wiki/Q4677630","display_name":"Activity detection","level":2,"score":0.6412934064865112},{"id":"https://openalex.org/C121687571","wikidata":"https://www.wikidata.org/wiki/Q4677630","display_name":"Activity recognition","level":2,"score":0.5960391759872437},{"id":"https://openalex.org/C104114177","wikidata":"https://www.wikidata.org/wiki/Q79782","display_name":"Motion (physics)","level":2,"score":0.46343833208084106},{"id":"https://openalex.org/C94915269","wikidata":"https://www.wikidata.org/wiki/Q1834857","display_name":"Detector","level":2,"score":0.4614729881286621},{"id":"https://openalex.org/C31972630","wikidata":"https://www.wikidata.org/wiki/Q844240","display_name":"Computer vision","level":1,"score":0.457058846950531},{"id":"https://openalex.org/C2776151529","wikidata":"https://www.wikidata.org/wiki/Q3045304","display_name":"Object detection","level":3,"score":0.4442009925842285},{"id":"https://openalex.org/C2777402240","wikidata":"https://www.wikidata.org/wiki/Q6783436","display_name":"Masking (illustration)","level":2,"score":0.43580561876296997},{"id":"https://openalex.org/C2780451532","wikidata":"https://www.wikidata.org/wiki/Q759676","display_name":"Task (project management)","level":2,"score":0.42555394768714905},{"id":"https://openalex.org/C106131492","wikidata":"https://www.wikidata.org/wiki/Q3072260","display_name":"Filter (signal processing)","level":2,"score":0.4119028151035309},{"id":"https://openalex.org/C119857082","wikidata":"https://www.wikidata.org/wiki/Q2539","display_name":"Machine learning","level":1,"score":0.3751847743988037},{"id":"https://openalex.org/C153180895","wikidata":"https://www.wikidata.org/wiki/Q7148389","display_name":"Pattern recognition (psychology)","level":2,"score":0.33904287219047546},{"id":"https://openalex.org/C187736073","wikidata":"https://www.wikidata.org/wiki/Q2920921","display_name":"Management","level":1,"score":0.0},{"id":"https://openalex.org/C185592680","wikidata":"https://www.wikidata.org/wiki/Q2329","display_name":"Chemistry","level":0,"score":0.0},{"id":"https://openalex.org/C76155785","wikidata":"https://www.wikidata.org/wiki/Q418","display_name":"Telecommunications","level":1,"score":0.0},{"id":"https://openalex.org/C162324750","wikidata":"https://www.wikidata.org/wiki/Q8134","display_name":"Economics","level":0,"score":0.0},{"id":"https://openalex.org/C142362112","wikidata":"https://www.wikidata.org/wiki/Q735","display_name":"Art","level":0,"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/C153349607","wikidata":"https://www.wikidata.org/wiki/Q36649","display_name":"Visual arts","level":1,"score":0.0},{"id":"https://openalex.org/C55493867","wikidata":"https://www.wikidata.org/wiki/Q7094","display_name":"Biochemistry","level":1,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/icmew56448.2022.9859481","is_oa":false,"landing_page_url":"https://doi.org/10.1109/icmew56448.2022.9859481","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2022 IEEE International Conference on Multimedia and Expo Workshops (ICMEW)","raw_type":"proceedings-article"}],"best_oa_location":null,"sustainable_development_goals":[{"display_name":"No poverty","id":"https://metadata.un.org/sdg/1","score":0.7699999809265137}],"awards":[],"funders":[],"has_content":{"grobid_xml":false,"pdf":false},"content_urls":null,"referenced_works_count":36,"referenced_works":["https://openalex.org/W639708223","https://openalex.org/W2035866593","https://openalex.org/W2142996775","https://openalex.org/W2553594924","https://openalex.org/W2593722617","https://openalex.org/W2603203130","https://openalex.org/W2618799552","https://openalex.org/W2746726611","https://openalex.org/W2766402183","https://openalex.org/W2766984662","https://openalex.org/W2770804203","https://openalex.org/W2961193895","https://openalex.org/W2963155035","https://openalex.org/W2963247196","https://openalex.org/W2963524571","https://openalex.org/W2963850050","https://openalex.org/W2963874033","https://openalex.org/W2964216549","https://openalex.org/W2964241181","https://openalex.org/W2990152177","https://openalex.org/W3026803128","https://openalex.org/W3100481960","https://openalex.org/W3106250896","https://openalex.org/W3161886303","https://openalex.org/W3184171909","https://openalex.org/W3192931333","https://openalex.org/W4214614183","https://openalex.org/W4285357233","https://openalex.org/W4294566634","https://openalex.org/W6620707391","https://openalex.org/W6736207759","https://openalex.org/W6746278886","https://openalex.org/W6746798562","https://openalex.org/W6755431558","https://openalex.org/W6785652829","https://openalex.org/W6798771956"],"related_works":["https://openalex.org/W2896666051","https://openalex.org/W2944566775","https://openalex.org/W2279827266","https://openalex.org/W2880976449","https://openalex.org/W3195649134","https://openalex.org/W3135769773","https://openalex.org/W1983447325","https://openalex.org/W2003968596","https://openalex.org/W4313039464","https://openalex.org/W2610740816"],"abstract_inverted_index":{"Activity":[0],"detection":[1,47,115],"in":[2,25,49,86,135],"surveillance":[3,51],"videos":[4,52],"is":[5,80],"a":[6,42,76,96],"challenging":[7],"task":[8],"caused":[9],"by":[10],"small":[11],"objects,":[12],"complex":[13],"activity":[14,46,68,71,114],"categories,":[15],"its":[16],"untrimmed":[17,50],"nature,":[18],"etc.":[19],"Existing":[20],"methods":[21],"are":[22],"generally":[23],"limited":[24],"performance":[26],"due":[27],"to":[28,82,100],"inaccurate":[29],"proposals,":[30],"poor":[31],"classifiers":[32],"or":[33],"inadequate":[34],"post-processing":[35],"method.":[36],"In":[37],"this":[38],"work,":[39],"we":[40,94],"propose":[41,95],"comprehensive":[43],"and":[44,55,70,104,118],"effective":[45],"system":[48],"for":[53,91,123],"person-centered":[54,74],"vehicle-centered":[56,92],"activities.":[57,127],"It":[58],"consists":[59],"of":[60,126],"four":[61],"modules,":[62],"i.e.,":[63],"object":[64],"localizer,":[65],"proposal":[66],"filter,":[67],"classifier":[69],"refiner.":[72],"For":[73],"activities,":[75,93],"novel":[77],"part-attention":[78],"mechanism":[79],"proposed":[81],"explore":[83],"detailed":[84],"features":[85],"different":[87],"body":[88],"parts.":[89],"As":[90],"localization":[97],"masking":[98],"method":[99],"jointly":[101],"encode":[102],"motion":[103],"foreground":[105],"attention":[106],"features.":[107],"We":[108],"conduct":[109],"experiments":[110],"on":[111],"the":[112,120,132,136],"large-scale":[113],"datasets":[116],"VIRAT,":[117],"achieve":[119],"best":[121],"results":[122],"both":[124],"groups":[125],"Furthermore,":[128],"our":[129],"team":[130],"won":[131],"1st":[133],"place":[134],"TRECVID":[137],"2021":[138],"ActEV":[139],"challenge.":[140]},"counts_by_year":[{"year":2023,"cited_by_count":2}],"updated_date":"2025-11-06T03:46:38.306776","created_date":"2025-10-10T00:00:00"}