{"id":"https://openalex.org/W2000569552","doi":"https://doi.org/10.1007/s00500-014-1375-9","title":"Multiple pedestrian tracking based on couple-states Markov chain with semantic topic learning for video surveillance","display_name":"Multiple pedestrian tracking based on couple-states Markov chain with semantic topic learning for video surveillance","publication_year":2014,"publication_date":"2014-08-21","ids":{"openalex":"https://openalex.org/W2000569552","doi":"https://doi.org/10.1007/s00500-014-1375-9","mag":"2000569552"},"language":"en","primary_location":{"id":"doi:10.1007/s00500-014-1375-9","is_oa":false,"landing_page_url":"https://doi.org/10.1007/s00500-014-1375-9","pdf_url":null,"source":{"id":"https://openalex.org/S65753830","display_name":"Soft Computing","issn_l":"1432-7643","issn":["1432-7643","1433-7479"],"is_oa":false,"is_in_doaj":false,"is_core":true,"host_organization":"https://openalex.org/P4310319900","host_organization_name":"Springer Science+Business Media","host_organization_lineage":["https://openalex.org/P4310319900","https://openalex.org/P4310319965"],"host_organization_lineage_names":["Springer Science+Business Media","Springer Nature"],"type":"journal"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Soft Computing","raw_type":"journal-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/A5100364049","display_name":"Peng Zhang","orcid":"https://orcid.org/0000-0001-8345-1736"},"institutions":[{"id":"https://openalex.org/I17145004","display_name":"Northwestern Polytechnical University","ror":"https://ror.org/01y0j0j86","country_code":"CN","type":"education","lineage":["https://openalex.org/I17145004"]}],"countries":["CN"],"is_corresponding":true,"raw_author_name":"Peng Zhang","raw_affiliation_strings":["School of Computer Science, Northwestern Polytechnical University, Xi\u2019an, China","School of computer science, Northwestern Polytechnical University,Xi'an,China"],"affiliations":[{"raw_affiliation_string":"School of Computer Science, Northwestern Polytechnical University, Xi\u2019an, China","institution_ids":["https://openalex.org/I17145004"]},{"raw_affiliation_string":"School of computer science, Northwestern Polytechnical University,Xi'an,China","institution_ids":["https://openalex.org/I17145004"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5115602506","display_name":"Liang Wang","orcid":"https://orcid.org/0000-0001-5224-8647"},"institutions":[{"id":"https://openalex.org/I927257375","display_name":"ASML (Netherlands)","ror":"https://ror.org/01vxknj13","country_code":"NL","type":"company","lineage":["https://openalex.org/I4210092504","https://openalex.org/I4210122849","https://openalex.org/I927257375"]}],"countries":["NL"],"is_corresponding":false,"raw_author_name":"Liang Wang","raw_affiliation_strings":["ASML US, Inc., Chandler, USA","ASML US, Inc., Chandler, USA#TAB#"],"affiliations":[{"raw_affiliation_string":"ASML US, Inc., Chandler, USA","institution_ids":[]},{"raw_affiliation_string":"ASML US, Inc., Chandler, USA#TAB#","institution_ids":["https://openalex.org/I927257375"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5004584268","display_name":"Wei Huang","orcid":"https://orcid.org/0000-0002-0541-8612"},"institutions":[{"id":"https://openalex.org/I141649914","display_name":"Nanchang University","ror":"https://ror.org/042v6xz23","country_code":"CN","type":"education","lineage":["https://openalex.org/I141649914"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Wei Huang","raw_affiliation_strings":["School of Information Engineering, Nanchang University, Nanchang, China","[Sch. of Inf. Eng., Nanchang Univ., Nanchang, China]"],"affiliations":[{"raw_affiliation_string":"School of Information Engineering, Nanchang University, Nanchang, China","institution_ids":["https://openalex.org/I141649914"]},{"raw_affiliation_string":"[Sch. of Inf. Eng., Nanchang Univ., Nanchang, China]","institution_ids":["https://openalex.org/I141649914"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5100668966","display_name":"Lei Xie","orcid":"https://orcid.org/0000-0001-8234-0823"},"institutions":[{"id":"https://openalex.org/I17145004","display_name":"Northwestern Polytechnical University","ror":"https://ror.org/01y0j0j86","country_code":"CN","type":"education","lineage":["https://openalex.org/I17145004"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Lei Xie","raw_affiliation_strings":["School of Computer Science, Northwestern Polytechnical University, Xi\u2019an, China","School of computer science, Northwestern Polytechnical University,Xi'an,China"],"affiliations":[{"raw_affiliation_string":"School of Computer Science, Northwestern Polytechnical University, Xi\u2019an, China","institution_ids":["https://openalex.org/I17145004"]},{"raw_affiliation_string":"School of computer science, Northwestern Polytechnical University,Xi'an,China","institution_ids":["https://openalex.org/I17145004"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5102992722","display_name":"Guang Chen","orcid":"https://orcid.org/0000-0003-1487-8044"},"institutions":[{"id":"https://openalex.org/I4210130954","display_name":"China Institute Of Communications","ror":"https://ror.org/0395ve714","country_code":"CN","type":"other","lineage":["https://openalex.org/I4210130954"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Guang Chen","raw_affiliation_strings":["Xi\u2019an Communications Institute, Xi\u2019an, China","Xi'an Communications Institute, Xi'an, China#TAB#"],"affiliations":[{"raw_affiliation_string":"Xi\u2019an Communications Institute, Xi\u2019an, China","institution_ids":[]},{"raw_affiliation_string":"Xi'an Communications Institute, Xi'an, China#TAB#","institution_ids":["https://openalex.org/I4210130954"]}]}],"institutions":[],"countries_distinct_count":2,"institutions_distinct_count":5,"corresponding_author_ids":["https://openalex.org/A5100364049"],"corresponding_institution_ids":["https://openalex.org/I17145004"],"apc_list":{"value":2390,"currency":"EUR","value_usd":2990},"apc_paid":null,"fwci":0.7405,"has_fulltext":false,"cited_by_count":10,"citation_normalized_percentile":{"value":0.74852239,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":90,"max":98},"biblio":{"volume":"19","issue":"1","first_page":"85","last_page":"97"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10331","display_name":"Video Surveillance and Tracking Methods","score":0.9998000264167786,"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":0.9998000264167786,"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":0.9904999732971191,"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"}},{"id":"https://openalex.org/T12597","display_name":"Fire Detection and Safety Systems","score":0.9724000096321106,"subfield":{"id":"https://openalex.org/subfields/2213","display_name":"Safety, Risk, Reliability and Quality"},"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/computer-science","display_name":"Computer science","score":0.7756615877151489},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.6812001466751099},{"id":"https://openalex.org/keywords/benchmark","display_name":"Benchmark (surveying)","score":0.6134921312332153},{"id":"https://openalex.org/keywords/video-tracking","display_name":"Video tracking","score":0.5957633256912231},{"id":"https://openalex.org/keywords/hidden-markov-model","display_name":"Hidden Markov model","score":0.559779167175293},{"id":"https://openalex.org/keywords/markov-chain","display_name":"Markov chain","score":0.5572053790092468},{"id":"https://openalex.org/keywords/tracking","display_name":"Tracking (education)","score":0.5455703735351562},{"id":"https://openalex.org/keywords/computer-vision","display_name":"Computer vision","score":0.5390220880508423},{"id":"https://openalex.org/keywords/eye-tracking","display_name":"Eye tracking","score":0.5093690156936646},{"id":"https://openalex.org/keywords/pedestrian","display_name":"Pedestrian","score":0.4901336133480072},{"id":"https://openalex.org/keywords/process","display_name":"Process (computing)","score":0.47563886642456055},{"id":"https://openalex.org/keywords/pedestrian-detection","display_name":"Pedestrian detection","score":0.43806952238082886},{"id":"https://openalex.org/keywords/frame","display_name":"Frame (networking)","score":0.4334664046764374},{"id":"https://openalex.org/keywords/pixel","display_name":"Pixel","score":0.42151111364364624},{"id":"https://openalex.org/keywords/markov-process","display_name":"Markov process","score":0.41455695033073425},{"id":"https://openalex.org/keywords/tracking-system","display_name":"Tracking system","score":0.41093266010284424},{"id":"https://openalex.org/keywords/machine-learning","display_name":"Machine learning","score":0.410774290561676},{"id":"https://openalex.org/keywords/pattern-recognition","display_name":"Pattern recognition (psychology)","score":0.4010922610759735},{"id":"https://openalex.org/keywords/object","display_name":"Object (grammar)","score":0.27192598581314087},{"id":"https://openalex.org/keywords/kalman-filter","display_name":"Kalman filter","score":0.14040827751159668},{"id":"https://openalex.org/keywords/mathematics","display_name":"Mathematics","score":0.10360461473464966},{"id":"https://openalex.org/keywords/engineering","display_name":"Engineering","score":0.09745585918426514}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.7756615877151489},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.6812001466751099},{"id":"https://openalex.org/C185798385","wikidata":"https://www.wikidata.org/wiki/Q1161707","display_name":"Benchmark (surveying)","level":2,"score":0.6134921312332153},{"id":"https://openalex.org/C202474056","wikidata":"https://www.wikidata.org/wiki/Q1931635","display_name":"Video tracking","level":3,"score":0.5957633256912231},{"id":"https://openalex.org/C23224414","wikidata":"https://www.wikidata.org/wiki/Q176769","display_name":"Hidden Markov model","level":2,"score":0.559779167175293},{"id":"https://openalex.org/C98763669","wikidata":"https://www.wikidata.org/wiki/Q176645","display_name":"Markov chain","level":2,"score":0.5572053790092468},{"id":"https://openalex.org/C2775936607","wikidata":"https://www.wikidata.org/wiki/Q466845","display_name":"Tracking (education)","level":2,"score":0.5455703735351562},{"id":"https://openalex.org/C31972630","wikidata":"https://www.wikidata.org/wiki/Q844240","display_name":"Computer vision","level":1,"score":0.5390220880508423},{"id":"https://openalex.org/C56461940","wikidata":"https://www.wikidata.org/wiki/Q970687","display_name":"Eye tracking","level":2,"score":0.5093690156936646},{"id":"https://openalex.org/C2777113093","wikidata":"https://www.wikidata.org/wiki/Q221488","display_name":"Pedestrian","level":2,"score":0.4901336133480072},{"id":"https://openalex.org/C98045186","wikidata":"https://www.wikidata.org/wiki/Q205663","display_name":"Process (computing)","level":2,"score":0.47563886642456055},{"id":"https://openalex.org/C2780156472","wikidata":"https://www.wikidata.org/wiki/Q2355550","display_name":"Pedestrian detection","level":3,"score":0.43806952238082886},{"id":"https://openalex.org/C126042441","wikidata":"https://www.wikidata.org/wiki/Q1324888","display_name":"Frame (networking)","level":2,"score":0.4334664046764374},{"id":"https://openalex.org/C160633673","wikidata":"https://www.wikidata.org/wiki/Q355198","display_name":"Pixel","level":2,"score":0.42151111364364624},{"id":"https://openalex.org/C159886148","wikidata":"https://www.wikidata.org/wiki/Q176645","display_name":"Markov process","level":2,"score":0.41455695033073425},{"id":"https://openalex.org/C154586513","wikidata":"https://www.wikidata.org/wiki/Q4420972","display_name":"Tracking system","level":3,"score":0.41093266010284424},{"id":"https://openalex.org/C119857082","wikidata":"https://www.wikidata.org/wiki/Q2539","display_name":"Machine learning","level":1,"score":0.410774290561676},{"id":"https://openalex.org/C153180895","wikidata":"https://www.wikidata.org/wiki/Q7148389","display_name":"Pattern recognition (psychology)","level":2,"score":0.4010922610759735},{"id":"https://openalex.org/C2781238097","wikidata":"https://www.wikidata.org/wiki/Q175026","display_name":"Object (grammar)","level":2,"score":0.27192598581314087},{"id":"https://openalex.org/C157286648","wikidata":"https://www.wikidata.org/wiki/Q846780","display_name":"Kalman filter","level":2,"score":0.14040827751159668},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.10360461473464966},{"id":"https://openalex.org/C127413603","wikidata":"https://www.wikidata.org/wiki/Q11023","display_name":"Engineering","level":0,"score":0.09745585918426514},{"id":"https://openalex.org/C76155785","wikidata":"https://www.wikidata.org/wiki/Q418","display_name":"Telecommunications","level":1,"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/C19417346","wikidata":"https://www.wikidata.org/wiki/Q7922","display_name":"Pedagogy","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/C105795698","wikidata":"https://www.wikidata.org/wiki/Q12483","display_name":"Statistics","level":1,"score":0.0},{"id":"https://openalex.org/C22212356","wikidata":"https://www.wikidata.org/wiki/Q775325","display_name":"Transport engineering","level":1,"score":0.0},{"id":"https://openalex.org/C205649164","wikidata":"https://www.wikidata.org/wiki/Q1071","display_name":"Geography","level":0,"score":0.0},{"id":"https://openalex.org/C111919701","wikidata":"https://www.wikidata.org/wiki/Q9135","display_name":"Operating system","level":1,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1007/s00500-014-1375-9","is_oa":false,"landing_page_url":"https://doi.org/10.1007/s00500-014-1375-9","pdf_url":null,"source":{"id":"https://openalex.org/S65753830","display_name":"Soft Computing","issn_l":"1432-7643","issn":["1432-7643","1433-7479"],"is_oa":false,"is_in_doaj":false,"is_core":true,"host_organization":"https://openalex.org/P4310319900","host_organization_name":"Springer Science+Business Media","host_organization_lineage":["https://openalex.org/P4310319900","https://openalex.org/P4310319965"],"host_organization_lineage_names":["Springer Science+Business Media","Springer Nature"],"type":"journal"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Soft Computing","raw_type":"journal-article"}],"best_oa_location":null,"sustainable_development_goals":[],"awards":[],"funders":[],"has_content":{"grobid_xml":false,"pdf":false},"content_urls":null,"referenced_works_count":30,"referenced_works":["https://openalex.org/W161114242","https://openalex.org/W1807914171","https://openalex.org/W1995903777","https://openalex.org/W2001785244","https://openalex.org/W2023640470","https://openalex.org/W2024029849","https://openalex.org/W2066513304","https://openalex.org/W2089961441","https://openalex.org/W2098854771","https://openalex.org/W2098941887","https://openalex.org/W2103633133","https://openalex.org/W2105403175","https://openalex.org/W2107743791","https://openalex.org/W2109200236","https://openalex.org/W2110116545","https://openalex.org/W2124211486","https://openalex.org/W2124490330","https://openalex.org/W2132103241","https://openalex.org/W2139047213","https://openalex.org/W2154429285","https://openalex.org/W2158169396","https://openalex.org/W2160337655","https://openalex.org/W2161969291","https://openalex.org/W2165037244","https://openalex.org/W2167089254","https://openalex.org/W2293873019","https://openalex.org/W2613779721","https://openalex.org/W2753461371","https://openalex.org/W3097096317","https://openalex.org/W4233135949"],"related_works":["https://openalex.org/W2318603563","https://openalex.org/W887692824","https://openalex.org/W2910635843","https://openalex.org/W2354419434","https://openalex.org/W2211021966","https://openalex.org/W2256387306","https://openalex.org/W2009959527","https://openalex.org/W3178626677","https://openalex.org/W4285271403","https://openalex.org/W2110357291"],"abstract_inverted_index":null,"counts_by_year":[{"year":2020,"cited_by_count":2},{"year":2019,"cited_by_count":5},{"year":2017,"cited_by_count":1},{"year":2016,"cited_by_count":1},{"year":2015,"cited_by_count":1}],"updated_date":"2025-11-06T03:46:38.306776","created_date":"2025-10-10T00:00:00"}
