{"id":"https://openalex.org/W2327966264","doi":"https://doi.org/10.1109/spac.2014.6982667","title":"The robust patches-based tracking method via sparse representation","display_name":"The robust patches-based tracking method via sparse representation","publication_year":2014,"publication_date":"2014-10-01","ids":{"openalex":"https://openalex.org/W2327966264","doi":"https://doi.org/10.1109/spac.2014.6982667","mag":"2327966264"},"language":"en","primary_location":{"id":"doi:10.1109/spac.2014.6982667","is_oa":false,"landing_page_url":"https://doi.org/10.1109/spac.2014.6982667","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Proceedings 2014 IEEE International Conference on Security, Pattern Analysis, and Cybernetics (SPAC)","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/A5100730615","display_name":"Yi Li","orcid":"https://orcid.org/0000-0002-6144-5164"},"institutions":[],"countries":[],"is_corresponding":true,"raw_author_name":"Yi Li","raw_affiliation_strings":["School of Computer Science, Shenzhen Graduate School, China"],"affiliations":[{"raw_affiliation_string":"School of Computer Science, Shenzhen Graduate School, China","institution_ids":[]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5100740560","display_name":"Zhenyu He","orcid":"https://orcid.org/0000-0001-5212-5882"},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Zhenyu He","raw_affiliation_strings":["School of Computer Science, Shenzhen Graduate School, China"],"affiliations":[{"raw_affiliation_string":"School of Computer Science, Shenzhen Graduate School, China","institution_ids":[]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5081499128","display_name":"Shuangyan Yi","orcid":"https://orcid.org/0000-0003-4771-6105"},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Shuangyan Yi","raw_affiliation_strings":["School of Computer Science, Shenzhen Graduate School, China"],"affiliations":[{"raw_affiliation_string":"School of Computer Science, Shenzhen Graduate School, China","institution_ids":[]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5058312907","display_name":"Weiguo Yang","orcid":"https://orcid.org/0000-0002-7609-5136"},"institutions":[{"id":"https://openalex.org/I4210093050","display_name":"Konka (China)","ror":"https://ror.org/00qa3c235","country_code":"CN","type":"company","lineage":["https://openalex.org/I4210093050"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Wei-Guo Yang","raw_affiliation_strings":["Shenzhen Konka Communication Technology Company"],"affiliations":[{"raw_affiliation_string":"Shenzhen Konka Communication Technology Company","institution_ids":["https://openalex.org/I4210093050"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":4,"corresponding_author_ids":["https://openalex.org/A5100730615"],"corresponding_institution_ids":[],"apc_list":null,"apc_paid":null,"fwci":0.0,"has_fulltext":false,"cited_by_count":0,"citation_normalized_percentile":{"value":0.22422334,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":null,"biblio":{"volume":"77","issue":null,"first_page":"109","last_page":"113"},"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/T11019","display_name":"Image Enhancement Techniques","score":0.9897000193595886,"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":0.9896000027656555,"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/artificial-intelligence","display_name":"Artificial intelligence","score":0.7575867176055908},{"id":"https://openalex.org/keywords/benchmark","display_name":"Benchmark (surveying)","score":0.7426468729972839},{"id":"https://openalex.org/keywords/tracking","display_name":"Tracking (education)","score":0.7318506240844727},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.7162156701087952},{"id":"https://openalex.org/keywords/video-tracking","display_name":"Video tracking","score":0.6929967403411865},{"id":"https://openalex.org/keywords/computer-vision","display_name":"Computer vision","score":0.6901968121528625},{"id":"https://openalex.org/keywords/sparse-approximation","display_name":"Sparse approximation","score":0.6563242673873901},{"id":"https://openalex.org/keywords/representation","display_name":"Representation (politics)","score":0.6549069881439209},{"id":"https://openalex.org/keywords/object","display_name":"Object (grammar)","score":0.5705752968788147},{"id":"https://openalex.org/keywords/robustness","display_name":"Robustness (evolution)","score":0.48573046922683716},{"id":"https://openalex.org/keywords/pattern-recognition","display_name":"Pattern recognition (psychology)","score":0.4712056517601013}],"concepts":[{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.7575867176055908},{"id":"https://openalex.org/C185798385","wikidata":"https://www.wikidata.org/wiki/Q1161707","display_name":"Benchmark (surveying)","level":2,"score":0.7426468729972839},{"id":"https://openalex.org/C2775936607","wikidata":"https://www.wikidata.org/wiki/Q466845","display_name":"Tracking (education)","level":2,"score":0.7318506240844727},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.7162156701087952},{"id":"https://openalex.org/C202474056","wikidata":"https://www.wikidata.org/wiki/Q1931635","display_name":"Video tracking","level":3,"score":0.6929967403411865},{"id":"https://openalex.org/C31972630","wikidata":"https://www.wikidata.org/wiki/Q844240","display_name":"Computer vision","level":1,"score":0.6901968121528625},{"id":"https://openalex.org/C124066611","wikidata":"https://www.wikidata.org/wiki/Q28684319","display_name":"Sparse approximation","level":2,"score":0.6563242673873901},{"id":"https://openalex.org/C2776359362","wikidata":"https://www.wikidata.org/wiki/Q2145286","display_name":"Representation (politics)","level":3,"score":0.6549069881439209},{"id":"https://openalex.org/C2781238097","wikidata":"https://www.wikidata.org/wiki/Q175026","display_name":"Object (grammar)","level":2,"score":0.5705752968788147},{"id":"https://openalex.org/C63479239","wikidata":"https://www.wikidata.org/wiki/Q7353546","display_name":"Robustness (evolution)","level":3,"score":0.48573046922683716},{"id":"https://openalex.org/C153180895","wikidata":"https://www.wikidata.org/wiki/Q7148389","display_name":"Pattern recognition (psychology)","level":2,"score":0.4712056517601013},{"id":"https://openalex.org/C205649164","wikidata":"https://www.wikidata.org/wiki/Q1071","display_name":"Geography","level":0,"score":0.0},{"id":"https://openalex.org/C13280743","wikidata":"https://www.wikidata.org/wiki/Q131089","display_name":"Geodesy","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},{"id":"https://openalex.org/C199539241","wikidata":"https://www.wikidata.org/wiki/Q7748","display_name":"Law","level":1,"score":0.0},{"id":"https://openalex.org/C94625758","wikidata":"https://www.wikidata.org/wiki/Q7163","display_name":"Politics","level":2,"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/C104317684","wikidata":"https://www.wikidata.org/wiki/Q7187","display_name":"Gene","level":2,"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/C17744445","wikidata":"https://www.wikidata.org/wiki/Q36442","display_name":"Political science","level":0,"score":0.0},{"id":"https://openalex.org/C15744967","wikidata":"https://www.wikidata.org/wiki/Q9418","display_name":"Psychology","level":0,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/spac.2014.6982667","is_oa":false,"landing_page_url":"https://doi.org/10.1109/spac.2014.6982667","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Proceedings 2014 IEEE International Conference on Security, Pattern Analysis, and Cybernetics (SPAC)","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":21,"referenced_works":["https://openalex.org/W1552576688","https://openalex.org/W2066513304","https://openalex.org/W2098854771","https://openalex.org/W2108745803","https://openalex.org/W2121193292","https://openalex.org/W2132103241","https://openalex.org/W2136886948","https://openalex.org/W2139047213","https://openalex.org/W2143715815","https://openalex.org/W2147533695","https://openalex.org/W2162383208","https://openalex.org/W2162919312","https://openalex.org/W2167089254","https://openalex.org/W2170865122","https://openalex.org/W2294602567","https://openalex.org/W2986028972","https://openalex.org/W4231340930","https://openalex.org/W6676245398","https://openalex.org/W6683886257","https://openalex.org/W6684274140","https://openalex.org/W6697111280"],"related_works":["https://openalex.org/W4285271403","https://openalex.org/W2542007731","https://openalex.org/W2968379562","https://openalex.org/W3156013036","https://openalex.org/W2091015105","https://openalex.org/W4388689193","https://openalex.org/W2110899030","https://openalex.org/W29633852","https://openalex.org/W2985362983","https://openalex.org/W4327670844"],"abstract_inverted_index":{"Occlusion":[0],"is":[1,73],"one":[2],"important":[3],"problem":[4],"in":[5],"single":[6,81],"object":[7,82],"tracking.":[8,83],"However,":[9],"conventional":[10],"methods":[11,79],"are":[12],"not":[13],"capable":[14],"of":[15,19,24],"making":[16],"full":[17],"use":[18],"the":[20,30,49,77],"spatial":[21],"information":[22],"because":[23],"occlusion,":[25],"which":[26,47],"may":[27],"lead":[28],"to":[29,58],"drift.":[31],"In":[32],"this":[33],"paper,":[34],"we":[35],"propose":[36],"a":[37],"robust":[38],"patches-based":[39],"tracking":[40],"method":[41,72],"via":[42],"sparse":[43],"representation,":[44],"namely":[45],"RPSR,":[46],"selects":[48],"unoccluded":[50],"patches,":[51],"and":[52,75],"adaptively":[53],"assigns":[54],"larger":[55],"contribution":[56],"factors":[57],"them.":[59],"The":[60],"experimental":[61],"results":[62],"on":[63],"popular":[64],"benchmark":[65],"video":[66],"sequences":[67],"show":[68],"that":[69],"our":[70],"RPSR":[71],"effective":[74],"outperforms":[76],"state-of-the-art":[78],"for":[80]},"counts_by_year":[],"updated_date":"2025-11-06T03:46:38.306776","created_date":"2025-10-10T00:00:00"}
