{"id":"https://openalex.org/W1994117780","doi":"https://doi.org/10.1145/2499788.2499802","title":"On-line object tracking with semi-supervised boosting based particle filter","display_name":"On-line object tracking with semi-supervised boosting based particle filter","publication_year":2013,"publication_date":"2013-08-17","ids":{"openalex":"https://openalex.org/W1994117780","doi":"https://doi.org/10.1145/2499788.2499802","mag":"1994117780"},"language":"en","primary_location":{"id":"doi:10.1145/2499788.2499802","is_oa":false,"landing_page_url":"https://doi.org/10.1145/2499788.2499802","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Proceedings of the Fifth International Conference on Internet Multimedia Computing and Service","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/A5101994866","display_name":"Shuifa Sun","orcid":"https://orcid.org/0000-0001-7720-3998"},"institutions":[{"id":"https://openalex.org/I161350542","display_name":"China Three Gorges University","ror":"https://ror.org/0419nfc77","country_code":"CN","type":"education","lineage":["https://openalex.org/I161350542"]}],"countries":["CN"],"is_corresponding":true,"raw_author_name":"Shuifa Sun","raw_affiliation_strings":["China Three Gorges University, Yichang, China"],"affiliations":[{"raw_affiliation_string":"China Three Gorges University, Yichang, China","institution_ids":["https://openalex.org/I161350542"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5042510130","display_name":"Xian-Bing Ma","orcid":null},"institutions":[{"id":"https://openalex.org/I161350542","display_name":"China Three Gorges University","ror":"https://ror.org/0419nfc77","country_code":"CN","type":"education","lineage":["https://openalex.org/I161350542"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Xianbing Ma","raw_affiliation_strings":["China Three Gorges University, Yichang, China"],"affiliations":[{"raw_affiliation_string":"China Three Gorges University, Yichang, China","institution_ids":["https://openalex.org/I161350542"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5109037331","display_name":"Fangmin Dong","orcid":null},"institutions":[{"id":"https://openalex.org/I161350542","display_name":"China Three Gorges University","ror":"https://ror.org/0419nfc77","country_code":"CN","type":"education","lineage":["https://openalex.org/I161350542"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Fangmin Dong","raw_affiliation_strings":["China Three Gorges University, Yichang, China"],"affiliations":[{"raw_affiliation_string":"China Three Gorges University, Yichang, China","institution_ids":["https://openalex.org/I161350542"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5049834437","display_name":"Yin-Shi Qin","orcid":null},"institutions":[{"id":"https://openalex.org/I161350542","display_name":"China Three Gorges University","ror":"https://ror.org/0419nfc77","country_code":"CN","type":"education","lineage":["https://openalex.org/I161350542"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Yinshi Qin","raw_affiliation_strings":["China Three Gorges University, Yichang, China"],"affiliations":[{"raw_affiliation_string":"China Three Gorges University, Yichang, China","institution_ids":["https://openalex.org/I161350542"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5047001057","display_name":"Heng Luo","orcid":"https://orcid.org/0000-0001-5192-8878"},"institutions":[{"id":"https://openalex.org/I161350542","display_name":"China Three Gorges University","ror":"https://ror.org/0419nfc77","country_code":"CN","type":"education","lineage":["https://openalex.org/I161350542"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Heng Luo","raw_affiliation_strings":["China Three Gorges University, Yichang, China"],"affiliations":[{"raw_affiliation_string":"China Three Gorges University, Yichang, China","institution_ids":["https://openalex.org/I161350542"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5101522456","display_name":"Bangjun Lei","orcid":"https://orcid.org/0000-0001-8347-564X"},"institutions":[{"id":"https://openalex.org/I161350542","display_name":"China Three Gorges University","ror":"https://ror.org/0419nfc77","country_code":"CN","type":"education","lineage":["https://openalex.org/I161350542"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Bangjun Lei","raw_affiliation_strings":["China Three Gorges University, Yichang, China"],"affiliations":[{"raw_affiliation_string":"China Three Gorges University, Yichang, China","institution_ids":["https://openalex.org/I161350542"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":6,"corresponding_author_ids":["https://openalex.org/A5101994866"],"corresponding_institution_ids":["https://openalex.org/I161350542"],"apc_list":null,"apc_paid":null,"fwci":0.0,"has_fulltext":false,"cited_by_count":0,"citation_normalized_percentile":{"value":0.06816829,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":null,"biblio":{"volume":null,"issue":null,"first_page":"345","last_page":"348"},"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/T10689","display_name":"Remote-Sensing Image Classification","score":0.9865000247955322,"subfield":{"id":"https://openalex.org/subfields/2214","display_name":"Media Technology"},"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/T11667","display_name":"Advanced Chemical Sensor Technologies","score":0.9821000099182129,"subfield":{"id":"https://openalex.org/subfields/2204","display_name":"Biomedical 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/particle-filter","display_name":"Particle filter","score":0.7484918236732483},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.7455881834030151},{"id":"https://openalex.org/keywords/boosting","display_name":"Boosting (machine learning)","score":0.7344369888305664},{"id":"https://openalex.org/keywords/computer-vision","display_name":"Computer vision","score":0.6327155232429504},{"id":"https://openalex.org/keywords/video-tracking","display_name":"Video tracking","score":0.5888462066650391},{"id":"https://openalex.org/keywords/histogram","display_name":"Histogram","score":0.5276165008544922},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.5272093415260315},{"id":"https://openalex.org/keywords/pattern-recognition","display_name":"Pattern recognition (psychology)","score":0.4735233783721924},{"id":"https://openalex.org/keywords/object-detection","display_name":"Object detection","score":0.4555467665195465},{"id":"https://openalex.org/keywords/filter","display_name":"Filter (signal processing)","score":0.32410022616386414},{"id":"https://openalex.org/keywords/object","display_name":"Object (grammar)","score":0.3232874870300293}],"concepts":[{"id":"https://openalex.org/C52421305","wikidata":"https://www.wikidata.org/wiki/Q1151499","display_name":"Particle filter","level":3,"score":0.7484918236732483},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.7455881834030151},{"id":"https://openalex.org/C46686674","wikidata":"https://www.wikidata.org/wiki/Q466303","display_name":"Boosting (machine learning)","level":2,"score":0.7344369888305664},{"id":"https://openalex.org/C31972630","wikidata":"https://www.wikidata.org/wiki/Q844240","display_name":"Computer vision","level":1,"score":0.6327155232429504},{"id":"https://openalex.org/C202474056","wikidata":"https://www.wikidata.org/wiki/Q1931635","display_name":"Video tracking","level":3,"score":0.5888462066650391},{"id":"https://openalex.org/C53533937","wikidata":"https://www.wikidata.org/wiki/Q185020","display_name":"Histogram","level":3,"score":0.5276165008544922},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.5272093415260315},{"id":"https://openalex.org/C153180895","wikidata":"https://www.wikidata.org/wiki/Q7148389","display_name":"Pattern recognition (psychology)","level":2,"score":0.4735233783721924},{"id":"https://openalex.org/C2776151529","wikidata":"https://www.wikidata.org/wiki/Q3045304","display_name":"Object detection","level":3,"score":0.4555467665195465},{"id":"https://openalex.org/C106131492","wikidata":"https://www.wikidata.org/wiki/Q3072260","display_name":"Filter (signal processing)","level":2,"score":0.32410022616386414},{"id":"https://openalex.org/C2781238097","wikidata":"https://www.wikidata.org/wiki/Q175026","display_name":"Object (grammar)","level":2,"score":0.3232874870300293},{"id":"https://openalex.org/C115961682","wikidata":"https://www.wikidata.org/wiki/Q860623","display_name":"Image (mathematics)","level":2,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1145/2499788.2499802","is_oa":false,"landing_page_url":"https://doi.org/10.1145/2499788.2499802","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Proceedings of the Fifth International Conference on Internet Multimedia Computing and Service","raw_type":"proceedings-article"}],"best_oa_location":null,"sustainable_development_goals":[],"awards":[{"id":"https://openalex.org/G831909327","display_name":null,"funder_award_id":"61102155, 61272237, 61272236","funder_id":"https://openalex.org/F4320321001","funder_display_name":"National Natural Science Foundation of China"}],"funders":[{"id":"https://openalex.org/F4320321001","display_name":"National Natural Science Foundation of China","ror":"https://ror.org/01h0zpd94"}],"has_content":{"grobid_xml":false,"pdf":false},"content_urls":null,"referenced_works_count":9,"referenced_works":["https://openalex.org/W1513768190","https://openalex.org/W1534095531","https://openalex.org/W1807914171","https://openalex.org/W1995903777","https://openalex.org/W2125907508","https://openalex.org/W2150000644","https://openalex.org/W2161969291","https://openalex.org/W2170865122","https://openalex.org/W2293873019"],"related_works":["https://openalex.org/W2125652721","https://openalex.org/W1540371141","https://openalex.org/W4231274751","https://openalex.org/W1549363203","https://openalex.org/W2154063878","https://openalex.org/W2556012038","https://openalex.org/W1489772951","https://openalex.org/W2963610131","https://openalex.org/W2100525497","https://openalex.org/W2965594636"],"abstract_inverted_index":{"There":[0],"are":[1],"two":[2],"key":[3],"issues":[4],"for":[5],"the":[6,12,17,21,24,58,64,68,80,88,93,116,127,133,140,145,148,156],"particle":[7,32,97],"filtering":[8],"based":[9,31,107],"object":[10,56,59],"tracking:":[11],"proposed":[13],"distribution":[14],"p(Xit|Xiiit-I)":[15],"and":[16,23,47,86,132],"likelihood":[18,146],"p(zt|Xit)":[19],"between":[20],"prediction":[22],"actual":[25],"observation.":[26],"The":[27,137],"kernel":[28],"color":[29],"histogram":[30],"filter":[33],"(CHPF)":[34],"has":[35,60,120],"achieved":[36],"very":[37],"good":[38],"tracking":[39],"performance":[40,158],"with":[41,92],"respect":[42],"to":[43,126,139],"partial":[44],"occlusion,":[45],"rotation":[46],"scale":[48],"variations.":[49],"However,":[50],"it":[51],"would":[52],"easily":[53],"lose":[54],"an":[55],"when":[57,67],"similar":[61],"appearance":[62,131],"as":[63,147],"background":[65],"or":[66],"illumination":[69,135],"changes.":[70],"To":[71],"address":[72],"these":[73],"problems,":[74],"in":[75],"this":[76,160],"paper":[77],"we":[78],"introduce":[79],"Semi-Supervised":[81,102,149],"On-line":[82,104,150],"Boosting":[83,103,151],"algorithm":[84],"(SSOB)":[85],"connect":[87],"confidence":[89],"of":[90,96,129,159],"SSOB":[91],"observation":[94],"model":[95],"filter.":[98],"This":[99],"new":[100],"method,":[101],"Object":[105],"Tracking":[106],"Particle":[108],"Filter":[109],"(SBPF),":[110],"can":[111],"better":[112],"distinguish":[113],"objects":[114],"from":[115],"background.":[117],"It":[118],"also":[119],"faster":[121],"while":[122],"more":[123],"robust":[124],"adaptation":[125],"change":[128],"objects'":[130],"environment":[134],"condition.":[136],"core":[138],"enhanced":[141],"characteristics":[142],"is":[143],"implementing":[144],"operator.":[152],"Extensive":[153],"experiments":[154],"show":[155],"superior":[157],"novel":[161],"method":[162],"under":[163],"aforementioned":[164],"difficult":[165],"scenarios.":[166]},"counts_by_year":[],"updated_date":"2025-11-06T03:46:38.306776","created_date":"2025-10-10T00:00:00"}
