{"id":"https://openalex.org/W4415708636","doi":"https://doi.org/10.1109/icme59968.2025.11210141","title":"Active Object Tracking with Occluded Targets Estimation and Adversarial Reinforcement Learning","display_name":"Active Object Tracking with Occluded Targets Estimation and Adversarial Reinforcement Learning","publication_year":2025,"publication_date":"2025-06-30","ids":{"openalex":"https://openalex.org/W4415708636","doi":"https://doi.org/10.1109/icme59968.2025.11210141"},"language":null,"primary_location":{"id":"doi:10.1109/icme59968.2025.11210141","is_oa":false,"landing_page_url":"https://doi.org/10.1109/icme59968.2025.11210141","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2025 IEEE International Conference on Multimedia and Expo (ICME)","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/A5100665777","display_name":"Zheng Chen","orcid":"https://orcid.org/0000-0003-2834-7455"},"institutions":[{"id":"https://openalex.org/I126520041","display_name":"University of Science and Technology of China","ror":"https://ror.org/04c4dkn09","country_code":"CN","type":"education","lineage":["https://openalex.org/I126520041","https://openalex.org/I19820366"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Zheng Chen","raw_affiliation_strings":["University of Science and Technology of China,EEIS Department,Hefei,China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"University of Science and Technology of China,EEIS Department,Hefei,China","institution_ids":["https://openalex.org/I126520041"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5046805800","display_name":"Wengang Zhou","orcid":"https://orcid.org/0000-0003-1690-9836"},"institutions":[{"id":"https://openalex.org/I4210120532","display_name":"Anhui Transport Consulting & Design Institute (China)","ror":"https://ror.org/02h6hms35","country_code":"CN","type":"company","lineage":["https://openalex.org/I4210120532"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Wengang Zhou","raw_affiliation_strings":["Intelligent Technologies for Comprehensive Transportation,IAI-ATCDI Joint R&D Center (Laboratory),Hefei,China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Intelligent Technologies for Comprehensive Transportation,IAI-ATCDI Joint R&D Center (Laboratory),Hefei,China","institution_ids":["https://openalex.org/I4210120532"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5078141810","display_name":"Houqiang Li","orcid":"https://orcid.org/0000-0003-2188-3028"},"institutions":[{"id":"https://openalex.org/I4210120532","display_name":"Anhui Transport Consulting & Design Institute (China)","ror":"https://ror.org/02h6hms35","country_code":"CN","type":"company","lineage":["https://openalex.org/I4210120532"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Houqiang Li","raw_affiliation_strings":["Intelligent Technologies for Comprehensive Transportation,IAI-ATCDI Joint R&D Center (Laboratory),Hefei,China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Intelligent Technologies for Comprehensive Transportation,IAI-ATCDI Joint R&D Center (Laboratory),Hefei,China","institution_ids":["https://openalex.org/I4210120532"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":2,"corresponding_author_ids":[],"corresponding_institution_ids":[],"apc_list":null,"apc_paid":null,"fwci":null,"has_fulltext":false,"cited_by_count":0,"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/T10331","display_name":"Video Surveillance and Tracking Methods","score":0.6805999875068665,"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":0.6805999875068665,"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/T11099","display_name":"Autonomous Vehicle Technology and Safety","score":0.05270000174641609,"subfield":{"id":"https://openalex.org/subfields/2203","display_name":"Automotive Engineering"},"field":{"id":"https://openalex.org/fields/22","display_name":"Engineering"},"domain":{"id":"https://openalex.org/domains/3","display_name":"Physical Sciences"}},{"id":"https://openalex.org/T10812","display_name":"Human Pose and Action Recognition","score":0.03689999878406525,"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/tracking","display_name":"Tracking (education)","score":0.7148000001907349},{"id":"https://openalex.org/keywords/object","display_name":"Object (grammar)","score":0.5561000108718872},{"id":"https://openalex.org/keywords/reinforcement-learning","display_name":"Reinforcement learning","score":0.4629000127315521},{"id":"https://openalex.org/keywords/video-tracking","display_name":"Video tracking","score":0.459199994802475},{"id":"https://openalex.org/keywords/track","display_name":"Track (disk drive)","score":0.42100000381469727},{"id":"https://openalex.org/keywords/code","display_name":"Code (set theory)","score":0.40470001101493835},{"id":"https://openalex.org/keywords/trajectory","display_name":"Trajectory","score":0.39489999413490295}],"concepts":[{"id":"https://openalex.org/C31972630","wikidata":"https://www.wikidata.org/wiki/Q844240","display_name":"Computer vision","level":1,"score":0.8252999782562256},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.8100000023841858},{"id":"https://openalex.org/C2775936607","wikidata":"https://www.wikidata.org/wiki/Q466845","display_name":"Tracking (education)","level":2,"score":0.7148000001907349},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.7099999785423279},{"id":"https://openalex.org/C2781238097","wikidata":"https://www.wikidata.org/wiki/Q175026","display_name":"Object (grammar)","level":2,"score":0.5561000108718872},{"id":"https://openalex.org/C97541855","wikidata":"https://www.wikidata.org/wiki/Q830687","display_name":"Reinforcement learning","level":2,"score":0.4629000127315521},{"id":"https://openalex.org/C202474056","wikidata":"https://www.wikidata.org/wiki/Q1931635","display_name":"Video tracking","level":3,"score":0.459199994802475},{"id":"https://openalex.org/C89992363","wikidata":"https://www.wikidata.org/wiki/Q5961558","display_name":"Track (disk drive)","level":2,"score":0.42100000381469727},{"id":"https://openalex.org/C2776760102","wikidata":"https://www.wikidata.org/wiki/Q5139990","display_name":"Code (set theory)","level":3,"score":0.40470001101493835},{"id":"https://openalex.org/C13662910","wikidata":"https://www.wikidata.org/wiki/Q193139","display_name":"Trajectory","level":2,"score":0.39489999413490295},{"id":"https://openalex.org/C154586513","wikidata":"https://www.wikidata.org/wiki/Q4420972","display_name":"Tracking system","level":3,"score":0.39149999618530273},{"id":"https://openalex.org/C104114177","wikidata":"https://www.wikidata.org/wiki/Q79782","display_name":"Motion (physics)","level":2,"score":0.3734999895095825},{"id":"https://openalex.org/C193611912","wikidata":"https://www.wikidata.org/wiki/Q4677596","display_name":"Active vision","level":2,"score":0.3675000071525574},{"id":"https://openalex.org/C2776151529","wikidata":"https://www.wikidata.org/wiki/Q3045304","display_name":"Object detection","level":3,"score":0.35659998655319214},{"id":"https://openalex.org/C52102323","wikidata":"https://www.wikidata.org/wiki/Q1671968","display_name":"Pose","level":2,"score":0.3156000077724457},{"id":"https://openalex.org/C34413123","wikidata":"https://www.wikidata.org/wiki/Q170978","display_name":"Robotics","level":3,"score":0.2973000109195709},{"id":"https://openalex.org/C90509273","wikidata":"https://www.wikidata.org/wiki/Q11012","display_name":"Robot","level":2,"score":0.2962999939918518}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/icme59968.2025.11210141","is_oa":false,"landing_page_url":"https://doi.org/10.1109/icme59968.2025.11210141","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2025 IEEE International Conference on Multimedia and Expo (ICME)","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":17,"referenced_works":["https://openalex.org/W1976450201","https://openalex.org/W2044049786","https://openalex.org/W2140825992","https://openalex.org/W2143103880","https://openalex.org/W2767011576","https://openalex.org/W2769700713","https://openalex.org/W2963658727","https://openalex.org/W2964418907","https://openalex.org/W2964981172","https://openalex.org/W2997574694","https://openalex.org/W3094093649","https://openalex.org/W3193456779","https://openalex.org/W4382362889","https://openalex.org/W4385575022","https://openalex.org/W4386215213","https://openalex.org/W4391996773","https://openalex.org/W4401100959"],"related_works":[],"abstract_inverted_index":{"Active":[0],"object":[1],"tracking":[2,7,63],"(AOT)":[3],"involves":[4],"the":[5,9,13,41,71,79,85,94,105,110,117],"continuous":[6],"of":[8,15,81,88],"target":[10,95,111,140],"by":[11],"controlling":[12],"movement":[14],"cameras":[16,46],"or":[17],"sensors.":[18],"It":[19],"is":[20,144],"extensively":[21],"applied":[22],"in":[23,34,65],"fields":[24],"such":[25,37],"as":[26,38,96],"robotic":[27],"navigation,":[28],"surveillance,":[29],"and":[30,84,99,129],"autonomous":[31],"driving.":[32],"However,":[33],"complex":[35,113],"scenarios,":[36],"sports":[39],"events,":[40],"challenge":[42],"increases":[43],"when":[44],"multiple":[45],"are":[47],"required":[48],"to":[49,109,126],"track":[50],"several":[51],"targets":[52,83],"collaboratively":[53],"within":[54],"a":[55,122],"dynamic":[56],"environment.":[57],"In":[58],"this":[59],"work,":[60],"we":[61,69,92,120],"enhance":[62],"efficiency":[64],"two":[66],"aspects.":[67],"First,":[68],"provide":[70],"camera":[72,106],"with":[73,112],"sufficient":[74],"information":[75],"for":[76],"decision-making,":[77],"including":[78],"positions":[80,87],"observed":[82],"estimated":[86],"occluded":[89],"targets.":[90],"Second,":[91],"treat":[93],"an":[97],"agent":[98],"train":[100],"its":[101],"motion":[102],"patterns,":[103],"making":[104],"more":[107],"adaptable":[108],"motion.":[114],"To":[115],"evaluate":[116],"proposed":[118],"method,":[119],"develop":[121],"3D":[123],"simulation":[124],"environment":[125],"model":[127],"multi-camera":[128],"multi-target":[130],"settings.":[131],"Experimental":[132],"results":[133],"demonstrate":[134],"that":[135],"our":[136],"approach":[137],"significantly":[138],"improves":[139],"coverage.":[141],"The":[142],"code":[143],"available":[145],"at:":[146],"https://github.com/HopeChanger/AOT-ARL.":[147]},"counts_by_year":[],"updated_date":"2026-07-14T23:27:15.235271","created_date":"2025-10-30T00:00:00"}