乐胖代购免代理版

{"id":"https://openalex.org/W2794049943","doi":"https://doi.org/10.1109/icip.2017.8296362","title":"Online multi-object tracking based on hierarchical association and sparse representation","display_name":"Online multi-object tracking based on hierarchical association and sparse representation","publication_year":2017,"publication_date":"2017-09-01","ids":{"openalex":"https://openalex.org/W2794049943","doi":"https://doi.org/10.1109/icip.2017.8296362","mag":"2794049943"},"language":"en","primary_location":{"is_oa":false,"landing_page_url":"https://doi.org/10.1109/icip.2017.8296362","pdf_url":null,"source":{"id":"https://openalex.org/S4363607719","display_name":"2022 IEEE International Conference on Image Processing (ICIP)","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_indexed_in_scopus":false,"is_core":false,"host_organization":null,"host_organization_name":null,"host_organization_lineage":[],"host_organization_lineage_names":[],"type":"conference"},"license":null,"license_id":null,"version":null,"is_accepted":false,"is_published":false},"type":"article","type_crossref":"proceedings-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/A5071102832","display_name":"Zijian Lin","orcid":"https://orcid.org/0009-0006-8701-6815"},"institutions":[{"id":"https://openalex.org/I1327237609","display_name":"Ministry of Education of the People's Republic of China","ror":"https://ror.org/01mv9t934","country_code":"CN","type":"government","lineage":["https://openalex.org/I1327237609","https://openalex.org/I4210127390"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Zijian Lin","raw_affiliation_strings":["School of Data and Computer Science, Ministry of Education, China"],"affiliations":[{"raw_affiliation_string":"School of Data and Computer Science, Ministry of Education, China","institution_ids":["https://openalex.org/I1327237609"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5034213282","display_name":"Huicheng Zheng","orcid":"https://orcid.org/0000-0002-6729-4176"},"institutions":[{"id":"https://openalex.org/I1327237609","display_name":"Ministry of Education of the People's Republic of China","ror":"https://ror.org/01mv9t934","country_code":"CN","type":"government","lineage":["https://openalex.org/I1327237609","https://openalex.org/I4210127390"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Huicheng Zheng","raw_affiliation_strings":["School of Data and Computer Science, Ministry of Education, China"],"affiliations":[{"raw_affiliation_string":"School of Data and Computer Science, Ministry of Education, China","institution_ids":["https://openalex.org/I1327237609"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5037456007","display_name":"Bo Ke","orcid":"https://orcid.org/0000-0003-0637-3943"},"institutions":[{"id":"https://openalex.org/I1327237609","display_name":"Ministry of Education of the People's Republic of China","ror":"https://ror.org/01mv9t934","country_code":"CN","type":"government","lineage":["https://openalex.org/I1327237609","https://openalex.org/I4210127390"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Bo Ke","raw_affiliation_strings":["School of Data and Computer Science, Ministry of Education, China"],"affiliations":[{"raw_affiliation_string":"School of Data and Computer Science, Ministry of Education, China","institution_ids":["https://openalex.org/I1327237609"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5018954903","display_name":"Lvran Chen","orcid":null},"institutions":[{"id":"https://openalex.org/I1327237609","display_name":"Ministry of Education of the People's Republic of China","ror":"https://ror.org/01mv9t934","country_code":"CN","type":"government","lineage":["https://openalex.org/I1327237609","https://openalex.org/I4210127390"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Lvran Chen","raw_affiliation_strings":["School of Data and Computer Science, Ministry of Education, China"],"affiliations":[{"raw_affiliation_string":"School of Data and Computer Science, Ministry of Education, China","institution_ids":["https://openalex.org/I1327237609"]}]}],"institution_assertions":[],"countries_distinct_count":1,"institutions_distinct_count":1,"corresponding_author_ids":[],"corresponding_institution_ids":[],"apc_list":null,"apc_paid":null,"fwci":0.12,"has_fulltext":true,"fulltext_origin":"ngrams","cited_by_count":4,"citation_normalized_percentile":{"value":0.564687,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":77,"max":79},"biblio":{"volume":null,"issue":null,"first_page":"655","last_page":"659"},"is_retracted":false,"is_paratext":false,"primary_topic":{"id":"https://openalex.org/T10331","display_name":"Video Surveillance and Tracking Methods","score":0.9998,"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":0.9998,"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/T10057","display_name":"Face and Expression Recognition","score":0.9714,"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/T14257","display_name":"Advanced Measurement and Detection Methods","score":0.9614,"subfield":{"id":"https://openalex.org/subfields/2208","display_name":"Electrical and Electronic Engineering"},"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/discriminative-model","display_name":"Discriminative model","score":0.8188679},{"id":"https://openalex.org/keywords/representation","display_name":"Representation","score":0.59538364},{"id":"https://openalex.org/keywords/tracking","display_name":"Tracking (education)","score":0.45853433},{"id":"https://openalex.org/keywords/data-association","display_name":"Data association","score":0.43486696}],"concepts":[{"id":"https://openalex.org/C97931131","wikidata":"https://www.wikidata.org/wiki/Q5282087","display_name":"Discriminative model","level":2,"score":0.8188679},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.78694475},{"id":"https://openalex.org/C124066611","wikidata":"https://www.wikidata.org/wiki/Q28684319","display_name":"Sparse approximation","level":2,"score":0.74760586},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.7202974},{"id":"https://openalex.org/C2776359362","wikidata":"https://www.wikidata.org/wiki/Q2145286","display_name":"Representation (politics)","level":3,"score":0.59538364},{"id":"https://openalex.org/C202474056","wikidata":"https://www.wikidata.org/wiki/Q1931635","display_name":"Video tracking","level":3,"score":0.583472},{"id":"https://openalex.org/C95623464","wikidata":"https://www.wikidata.org/wiki/Q1096149","display_name":"Classifier (UML)","level":2,"score":0.56879056},{"id":"https://openalex.org/C153180895","wikidata":"https://www.wikidata.org/wiki/Q7148389","display_name":"Pattern recognition (psychology)","level":2,"score":0.49439454},{"id":"https://openalex.org/C2781238097","wikidata":"https://www.wikidata.org/wiki/Q175026","display_name":"Object (grammar)","level":2,"score":0.48900756},{"id":"https://openalex.org/C2776151529","wikidata":"https://www.wikidata.org/wiki/Q3045304","display_name":"Object detection","level":3,"score":0.47553205},{"id":"https://openalex.org/C45374587","wikidata":"https://www.wikidata.org/wiki/Q12525525","display_name":"Computation","level":2,"score":0.4604988},{"id":"https://openalex.org/C2775936607","wikidata":"https://www.wikidata.org/wiki/Q466845","display_name":"Tracking (education)","level":2,"score":0.45853433},{"id":"https://openalex.org/C2983325608","wikidata":"https://www.wikidata.org/wiki/Q17084606","display_name":"Data association","level":3,"score":0.43486696},{"id":"https://openalex.org/C31972630","wikidata":"https://www.wikidata.org/wiki/Q844240","display_name":"Computer vision","level":1,"score":0.37117493},{"id":"https://openalex.org/C119857082","wikidata":"https://www.wikidata.org/wiki/Q2539","display_name":"Machine learning","level":1,"score":0.35381228},{"id":"https://openalex.org/C11413529","wikidata":"https://www.wikidata.org/wiki/Q8366","display_name":"Algorithm","level":1,"score":0.14251241},{"id":"https://openalex.org/C15744967","wikidata":"https://www.wikidata.org/wiki/Q9418","display_name":"Psychology","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/C94625758","wikidata":"https://www.wikidata.org/wiki/Q7163","display_name":"Politics","level":2,"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/C49937458","wikidata":"https://www.wikidata.org/wiki/Q2599292","display_name":"Probabilistic logic","level":2,"score":0.0},{"id":"https://openalex.org/C199539241","wikidata":"https://www.wikidata.org/wiki/Q7748","display_name":"Law","level":1,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"is_oa":false,"landing_page_url":"https://doi.org/10.1109/icip.2017.8296362","pdf_url":null,"source":{"id":"https://openalex.org/S4363607719","display_name":"2022 IEEE International Conference on Image Processing (ICIP)","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_indexed_in_scopus":false,"is_core":false,"host_organization":null,"host_organization_name":null,"host_organization_lineage":[],"host_organization_lineage_names":[],"type":"conference"},"license":null,"license_id":null,"version":null,"is_accepted":false,"is_published":false}],"best_oa_location":null,"sustainable_development_goals":[{"score":0.73,"id":"https://metadata.un.org/sdg/10","display_name":"Reduced inequalities"}],"grants":[],"datasets":[],"versions":[],"referenced_works_count":20,"referenced_works":["https://openalex.org/W1511768506","https://openalex.org/W1521019969","https://openalex.org/W1531192956","https://openalex.org/W2029742464","https://openalex.org/W2032226512","https://openalex.org/W2035153336","https://openalex.org/W2055022211","https://openalex.org/W2061773916","https://openalex.org/W2061915309","https://openalex.org/W2141822239","https://openalex.org/W2225887246","https://openalex.org/W2237765446","https://openalex.org/W2260975248","https://openalex.org/W2293909728","https://openalex.org/W2468912036","https://openalex.org/W2520234541","https://openalex.org/W2963063317","https://openalex.org/W2963689635","https://openalex.org/W3120048558","https://openalex.org/W4295331127"],"related_works":["https://openalex.org/W4389116644","https://openalex.org/W4205463238","https://openalex.org/W3103844505","https://openalex.org/W2965594636","https://openalex.org/W2761785940","https://openalex.org/W259157601","https://openalex.org/W2221500023","https://openalex.org/W2153315159","https://openalex.org/W2092099917","https://openalex.org/W2012200063"],"abstract_inverted_index":{"In":[0,23],"recent":[1],"years,":[2],"sparse":[3,45,56],"representation":[4,57],"has":[5],"been":[6],"applied":[7],"to":[8,20,33,59,77],"multi-object":[9,41],"tracking":[10],"and":[11,37,53,64,85],"shows":[12],"promising":[13],"performance.":[14],"But":[15],"existing":[16],"methods":[17],"often":[18],"lead":[19],"considerable":[21],"computation.":[22],"this":[24],"paper,":[25],"we":[26],"propose":[27,70],"a":[28,49,54,71],"two-level":[29],"hierarchical":[30],"association":[31],"approach":[32],"improve":[34],"the":[35,79,87,91,98],"accuracy":[36],"efficiency":[38],"of":[39],"online":[40,103],"tracker":[42],"based":[43],"on":[44],"representation.":[46],"We":[47,68],"employ":[48],"time-saving":[50],"affinity":[51],"measure":[52],"discriminative":[55],"classifier":[58],"handle":[60],"objects":[61],"with":[62],"disparate":[63],"similar":[65],"appearances,":[66],"respectively.":[67],"also":[69],"novel":[72],"strategy":[73],"for":[74],"track":[75],"termination":[76],"protect":[78],"reliable":[80],"tracks":[81,89],"containing":[82],"more":[83],"detections":[84],"restrain":[86],"unreliable":[88],"at":[90],"same":[92],"time.":[93],"Experimental":[94],"results":[95],"demonstrate":[96],"that":[97],"proposed":[99],"method":[100],"outperforms":[101],"state-of-the-art":[102],"methods.":[104]},"abstract_inverted_index_v3":null,"cited_by_api_url":"https://api.openalex.org/works?filter=cites:W2794049943","counts_by_year":[{"year":2024,"cited_by_count":1},{"year":2021,"cited_by_count":1},{"year":2020,"cited_by_count":1},{"year":2019,"cited_by_count":1}],"updated_date":"2025-04-24T04:09:18.651355","created_date":"2018-03-29"}