{"id":"https://openalex.org/W2153389210","doi":"https://doi.org/10.1109/iske.2008.4731091","title":"A hybrid object tracking method in complex backgrounds","display_name":"A hybrid object tracking method in complex backgrounds","publication_year":2008,"publication_date":"2008-11-01","ids":{"openalex":"https://openalex.org/W2153389210","doi":"https://doi.org/10.1109/iske.2008.4731091","mag":"2153389210"},"language":"en","primary_location":{"id":"doi:10.1109/iske.2008.4731091","is_oa":false,"landing_page_url":"https://doi.org/10.1109/iske.2008.4731091","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2008 3rd International Conference on Intelligent System and Knowledge Engineering","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/A5080539246","display_name":"Fenlan Li","orcid":"https://orcid.org/0000-0002-8237-3905"},"institutions":[{"id":"https://openalex.org/I32574673","display_name":"Shantou University","ror":"https://ror.org/01a099706","country_code":"CN","type":"education","lineage":["https://openalex.org/I32574673"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Fenlan Li","raw_affiliation_strings":["Department of Electronic Engineering, Shantou University, Guangdong, China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Department of Electronic Engineering, Shantou University, Guangdong, China","institution_ids":["https://openalex.org/I32574673"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5100634465","display_name":"Chao Li","orcid":"https://orcid.org/0000-0001-6340-9960"},"institutions":[{"id":"https://openalex.org/I32574673","display_name":"Shantou University","ror":"https://ror.org/01a099706","country_code":"CN","type":"education","lineage":["https://openalex.org/I32574673"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Chao Li","raw_affiliation_strings":["Department of Electronic Engineering, Shantou University, Guangdong, China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Department of Electronic Engineering, Shantou University, Guangdong, China","institution_ids":["https://openalex.org/I32574673"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5064712079","display_name":"Zhemin Zhuang","orcid":"https://orcid.org/0000-0002-7236-6859"},"institutions":[{"id":"https://openalex.org/I32574673","display_name":"Shantou University","ror":"https://ror.org/01a099706","country_code":"CN","type":"education","lineage":["https://openalex.org/I32574673"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Zhemin Zhuang","raw_affiliation_strings":["Department of Electronic Engineering, Shantou University, Guangdong, China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Department of Electronic Engineering, Shantou University, Guangdong, China","institution_ids":["https://openalex.org/I32574673"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":3,"corresponding_author_ids":[],"corresponding_institution_ids":[],"apc_list":null,"apc_paid":null,"fwci":0.0,"has_fulltext":false,"cited_by_count":0,"citation_normalized_percentile":{"value":0.15998799,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":null,"biblio":{"volume":"32","issue":null,"first_page":"1086","last_page":"1091"},"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/T12389","display_name":"Infrared Target Detection Methodologies","score":0.998199999332428,"subfield":{"id":"https://openalex.org/subfields/2202","display_name":"Aerospace 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/T10711","display_name":"Target Tracking and Data Fusion in Sensor Networks","score":0.9962000250816345,"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/bhattacharyya-distance","display_name":"Bhattacharyya distance","score":0.9289357662200928},{"id":"https://openalex.org/keywords/clutter","display_name":"Clutter","score":0.8082736134529114},{"id":"https://openalex.org/keywords/computer-vision","display_name":"Computer vision","score":0.7635347247123718},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.7543308138847351},{"id":"https://openalex.org/keywords/particle-filter","display_name":"Particle filter","score":0.697536289691925},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.6385940909385681},{"id":"https://openalex.org/keywords/tracking","display_name":"Tracking (education)","score":0.6285792589187622},{"id":"https://openalex.org/keywords/video-tracking","display_name":"Video tracking","score":0.5908785462379456},{"id":"https://openalex.org/keywords/histogram","display_name":"Histogram","score":0.5434160828590393},{"id":"https://openalex.org/keywords/filter","display_name":"Filter (signal processing)","score":0.47322288155555725},{"id":"https://openalex.org/keywords/rotation","display_name":"Rotation (mathematics)","score":0.45334669947624207},{"id":"https://openalex.org/keywords/object","display_name":"Object (grammar)","score":0.4225686192512512},{"id":"https://openalex.org/keywords/object-detection","display_name":"Object detection","score":0.413439005613327},{"id":"https://openalex.org/keywords/pattern-recognition","display_name":"Pattern recognition (psychology)","score":0.3243010342121124},{"id":"https://openalex.org/keywords/image","display_name":"Image (mathematics)","score":0.1506105661392212},{"id":"https://openalex.org/keywords/radar","display_name":"Radar","score":0.09980592131614685}],"concepts":[{"id":"https://openalex.org/C24145651","wikidata":"https://www.wikidata.org/wiki/Q2901249","display_name":"Bhattacharyya distance","level":2,"score":0.9289357662200928},{"id":"https://openalex.org/C132094186","wikidata":"https://www.wikidata.org/wiki/Q641585","display_name":"Clutter","level":3,"score":0.8082736134529114},{"id":"https://openalex.org/C31972630","wikidata":"https://www.wikidata.org/wiki/Q844240","display_name":"Computer vision","level":1,"score":0.7635347247123718},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.7543308138847351},{"id":"https://openalex.org/C52421305","wikidata":"https://www.wikidata.org/wiki/Q1151499","display_name":"Particle filter","level":3,"score":0.697536289691925},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.6385940909385681},{"id":"https://openalex.org/C2775936607","wikidata":"https://www.wikidata.org/wiki/Q466845","display_name":"Tracking (education)","level":2,"score":0.6285792589187622},{"id":"https://openalex.org/C202474056","wikidata":"https://www.wikidata.org/wiki/Q1931635","display_name":"Video tracking","level":3,"score":0.5908785462379456},{"id":"https://openalex.org/C53533937","wikidata":"https://www.wikidata.org/wiki/Q185020","display_name":"Histogram","level":3,"score":0.5434160828590393},{"id":"https://openalex.org/C106131492","wikidata":"https://www.wikidata.org/wiki/Q3072260","display_name":"Filter (signal processing)","level":2,"score":0.47322288155555725},{"id":"https://openalex.org/C74050887","wikidata":"https://www.wikidata.org/wiki/Q848368","display_name":"Rotation (mathematics)","level":2,"score":0.45334669947624207},{"id":"https://openalex.org/C2781238097","wikidata":"https://www.wikidata.org/wiki/Q175026","display_name":"Object (grammar)","level":2,"score":0.4225686192512512},{"id":"https://openalex.org/C2776151529","wikidata":"https://www.wikidata.org/wiki/Q3045304","display_name":"Object detection","level":3,"score":0.413439005613327},{"id":"https://openalex.org/C153180895","wikidata":"https://www.wikidata.org/wiki/Q7148389","display_name":"Pattern recognition (psychology)","level":2,"score":0.3243010342121124},{"id":"https://openalex.org/C115961682","wikidata":"https://www.wikidata.org/wiki/Q860623","display_name":"Image (mathematics)","level":2,"score":0.1506105661392212},{"id":"https://openalex.org/C554190296","wikidata":"https://www.wikidata.org/wiki/Q47528","display_name":"Radar","level":2,"score":0.09980592131614685},{"id":"https://openalex.org/C15744967","wikidata":"https://www.wikidata.org/wiki/Q9418","display_name":"Psychology","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/C19417346","wikidata":"https://www.wikidata.org/wiki/Q7922","display_name":"Pedagogy","level":1,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/iske.2008.4731091","is_oa":false,"landing_page_url":"https://doi.org/10.1109/iske.2008.4731091","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2008 3rd International Conference on Intelligent System and Knowledge Engineering","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":14,"referenced_works":["https://openalex.org/W1513008779","https://openalex.org/W1988827501","https://openalex.org/W2076149725","https://openalex.org/W2077611006","https://openalex.org/W2098613108","https://openalex.org/W2118143383","https://openalex.org/W2132103241","https://openalex.org/W2132576733","https://openalex.org/W2157096488","https://openalex.org/W2159128898","https://openalex.org/W2160337655","https://openalex.org/W2161406034","https://openalex.org/W4255477085","https://openalex.org/W6683352587"],"related_works":["https://openalex.org/W1982681402","https://openalex.org/W3149747767","https://openalex.org/W1536747792","https://openalex.org/W2192403599","https://openalex.org/W2353086252","https://openalex.org/W2117519005","https://openalex.org/W2545267826","https://openalex.org/W1864898059","https://openalex.org/W1994458110","https://openalex.org/W2100525497"],"abstract_inverted_index":{"Tracking":[0],"moving":[1,97],"objects":[2],"in":[3,40],"video":[4],"sequences":[5],"requires":[6],"a":[7,13,37,91],"robust":[8],"technique.":[9],"In":[10],"this":[11],"paper,":[12],"novel":[14],"object":[15],"tracking":[16],"method":[17,65],"is":[18,24,30,59,66,96],"discussed.":[19],"The":[20],"color":[21],"distributions":[22],"histograms":[23],"integrated":[25],"into":[26],"particle":[27,54],"filter,":[28,55],"which":[29],"also":[31],"considered":[32],"the":[33,45,49,53,56,71,87,94],"target\u2019s":[34],"shape":[35],"as":[36,75],"necessary":[38],"factor":[39],"target":[41,46,80,88],"model.":[42],"To":[43],"compare":[44],"model":[47],"with":[48,70,98],"current":[50],"hypotheses":[51],"of":[52],"Bhattacharyya":[57],"coefficient":[58],"applied.":[60],"Experimental":[61],"results":[62],"demonstrate":[63],"new":[64],"able":[67],"to":[68],"dealing":[69],"complex":[72],"backgrounds":[73],"such":[74],"clutter":[76],"and":[77,84],"partial":[78],"occlusion,":[79],"rotation,":[81],"scale":[82],"change,":[83],"even":[85],"when":[86],"disappears":[89],"for":[90],"while":[92],"or":[93],"camera":[95],"high":[99],"accuracy.":[100]},"counts_by_year":[],"updated_date":"2026-06-11T09:08:48.828518","created_date":"2025-10-10T00:00:00"}