{"id":"https://openalex.org/W2551027413","doi":"https://doi.org/10.1109/avss.2016.7738022","title":"Multi-object tracking of pedestrian driven by context","display_name":"Multi-object tracking of pedestrian driven by context","publication_year":2016,"publication_date":"2016-08-01","ids":{"openalex":"https://openalex.org/W2551027413","doi":"https://doi.org/10.1109/avss.2016.7738022","mag":"2551027413"},"language":"en","primary_location":{"id":"doi:10.1109/avss.2016.7738022","is_oa":false,"landing_page_url":"https://doi.org/10.1109/avss.2016.7738022","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2016 13th IEEE International Conference on Advanced Video and Signal Based Surveillance (AVSS)","raw_type":"proceedings-article"},"type":"preprint","indexed_in":["crossref"],"open_access":{"is_oa":true,"oa_status":"green","oa_url":"https://inria.hal.science/hal-01383186","any_repository_has_fulltext":true},"authorships":[{"author_position":"first","author":{"id":"https://openalex.org/A5110456483","display_name":"Thi Lan Anh Nguyen","orcid":null},"institutions":[{"id":"https://openalex.org/I4210106545","display_name":"Research Centre Inria Sophia Antipolis - M\u00e9diterran\u00e9e","ror":"https://ror.org/01nzkaw91","country_code":"FR","type":"government","lineage":["https://openalex.org/I1326498283","https://openalex.org/I201841394","https://openalex.org/I4210106545"]}],"countries":["FR"],"is_corresponding":true,"raw_author_name":"Thi Lan Anh Nguyen","raw_affiliation_strings":["Inria Centre de Recherche Sophia Antipolis Mediterranee, Sophia Antipolis, Provence-Alpes-C\u00c3\u00b4te d'Azu, FR","Inria Centre de Recherche Sophia Antipolis Mediterranee, Sophia Antipolis, Provence-Alpes-C\u00f4te d'Azu, FR"],"affiliations":[{"raw_affiliation_string":"Inria Centre de Recherche Sophia Antipolis Mediterranee, Sophia Antipolis, Provence-Alpes-C\u00c3\u00b4te d'Azu, FR","institution_ids":["https://openalex.org/I4210106545"]},{"raw_affiliation_string":"Inria Centre de Recherche Sophia Antipolis Mediterranee, Sophia Antipolis, Provence-Alpes-C\u00f4te d'Azu, FR","institution_ids":["https://openalex.org/I4210106545"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5037298642","display_name":"Fran\u00e7ois Br\u00e9mond","orcid":"https://orcid.org/0000-0003-2988-2142"},"institutions":[{"id":"https://openalex.org/I1326498283","display_name":"Institut national de recherche en informatique et en automatique","ror":"https://ror.org/02kvxyf05","country_code":"FR","type":"funder","lineage":["https://openalex.org/I1326498283"]}],"countries":["FR"],"is_corresponding":false,"raw_author_name":"Francois Bremond","raw_affiliation_strings":["INRIA Sophia Antipolis, France"],"affiliations":[{"raw_affiliation_string":"INRIA Sophia Antipolis, France","institution_ids":["https://openalex.org/I1326498283"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5046421258","display_name":"Jana Trojanov\u00e1","orcid":null},"institutions":[{"id":"https://openalex.org/I4210120083","display_name":"Honeywell (Czechia)","ror":"https://ror.org/0297sbd31","country_code":"CZ","type":"company","lineage":["https://openalex.org/I4210120083","https://openalex.org/I82514191"]}],"countries":["CZ"],"is_corresponding":false,"raw_author_name":"Jana Trojanova","raw_affiliation_strings":["Honeywell Prague Lab, Czech Republic"],"affiliations":[{"raw_affiliation_string":"Honeywell Prague Lab, Czech Republic","institution_ids":["https://openalex.org/I4210120083"]}]}],"institutions":[],"countries_distinct_count":2,"institutions_distinct_count":3,"corresponding_author_ids":["https://openalex.org/A5110456483"],"corresponding_institution_ids":["https://openalex.org/I4210106545"],"apc_list":null,"apc_paid":null,"fwci":0.6757,"has_fulltext":false,"cited_by_count":9,"citation_normalized_percentile":{"value":0.7806915,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":90,"max":97},"biblio":{"volume":null,"issue":null,"first_page":"23","last_page":"29"},"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/T10812","display_name":"Human Pose and Action Recognition","score":0.9937999844551086,"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/T12597","display_name":"Fire Detection and Safety Systems","score":0.9868999719619751,"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":0.8297848701477051},{"id":"https://openalex.org/keywords/context","display_name":"Context (archaeology)","score":0.7381162643432617},{"id":"https://openalex.org/keywords/tracking","display_name":"Tracking (education)","score":0.692119300365448},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.68343186378479},{"id":"https://openalex.org/keywords/bittorrent-tracker","display_name":"BitTorrent tracker","score":0.6447016596794128},{"id":"https://openalex.org/keywords/computer-vision","display_name":"Computer vision","score":0.5960979461669922},{"id":"https://openalex.org/keywords/task","display_name":"Task (project management)","score":0.5882275104522705},{"id":"https://openalex.org/keywords/pedestrian","display_name":"Pedestrian","score":0.537983775138855},{"id":"https://openalex.org/keywords/video-tracking","display_name":"Video tracking","score":0.47889652848243713},{"id":"https://openalex.org/keywords/variation","display_name":"Variation (astronomy)","score":0.45242559909820557},{"id":"https://openalex.org/keywords/context-model","display_name":"Context model","score":0.44343236088752747},{"id":"https://openalex.org/keywords/contrast","display_name":"Contrast (vision)","score":0.4417741298675537},{"id":"https://openalex.org/keywords/object","display_name":"Object (grammar)","score":0.43700236082077026},{"id":"https://openalex.org/keywords/motion","display_name":"Motion (physics)","score":0.4254094064235687},{"id":"https://openalex.org/keywords/spatial-contextual-awareness","display_name":"Spatial contextual awareness","score":0.4217616021633148},{"id":"https://openalex.org/keywords/machine-learning","display_name":"Machine learning","score":0.3288196325302124},{"id":"https://openalex.org/keywords/eye-tracking","display_name":"Eye tracking","score":0.25682562589645386}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.8297848701477051},{"id":"https://openalex.org/C2779343474","wikidata":"https://www.wikidata.org/wiki/Q3109175","display_name":"Context (archaeology)","level":2,"score":0.7381162643432617},{"id":"https://openalex.org/C2775936607","wikidata":"https://www.wikidata.org/wiki/Q466845","display_name":"Tracking (education)","level":2,"score":0.692119300365448},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.68343186378479},{"id":"https://openalex.org/C57501372","wikidata":"https://www.wikidata.org/wiki/Q2021268","display_name":"BitTorrent tracker","level":3,"score":0.6447016596794128},{"id":"https://openalex.org/C31972630","wikidata":"https://www.wikidata.org/wiki/Q844240","display_name":"Computer vision","level":1,"score":0.5960979461669922},{"id":"https://openalex.org/C2780451532","wikidata":"https://www.wikidata.org/wiki/Q759676","display_name":"Task (project management)","level":2,"score":0.5882275104522705},{"id":"https://openalex.org/C2777113093","wikidata":"https://www.wikidata.org/wiki/Q221488","display_name":"Pedestrian","level":2,"score":0.537983775138855},{"id":"https://openalex.org/C202474056","wikidata":"https://www.wikidata.org/wiki/Q1931635","display_name":"Video tracking","level":3,"score":0.47889652848243713},{"id":"https://openalex.org/C2778334786","wikidata":"https://www.wikidata.org/wiki/Q1586270","display_name":"Variation (astronomy)","level":2,"score":0.45242559909820557},{"id":"https://openalex.org/C183322885","wikidata":"https://www.wikidata.org/wiki/Q17007702","display_name":"Context model","level":3,"score":0.44343236088752747},{"id":"https://openalex.org/C2776502983","wikidata":"https://www.wikidata.org/wiki/Q690182","display_name":"Contrast (vision)","level":2,"score":0.4417741298675537},{"id":"https://openalex.org/C2781238097","wikidata":"https://www.wikidata.org/wiki/Q175026","display_name":"Object (grammar)","level":2,"score":0.43700236082077026},{"id":"https://openalex.org/C104114177","wikidata":"https://www.wikidata.org/wiki/Q79782","display_name":"Motion (physics)","level":2,"score":0.4254094064235687},{"id":"https://openalex.org/C64754055","wikidata":"https://www.wikidata.org/wiki/Q7574053","display_name":"Spatial contextual awareness","level":2,"score":0.4217616021633148},{"id":"https://openalex.org/C119857082","wikidata":"https://www.wikidata.org/wiki/Q2539","display_name":"Machine learning","level":1,"score":0.3288196325302124},{"id":"https://openalex.org/C56461940","wikidata":"https://www.wikidata.org/wiki/Q970687","display_name":"Eye tracking","level":2,"score":0.25682562589645386},{"id":"https://openalex.org/C121332964","wikidata":"https://www.wikidata.org/wiki/Q413","display_name":"Physics","level":0,"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/C127413603","wikidata":"https://www.wikidata.org/wiki/Q11023","display_name":"Engineering","level":0,"score":0.0},{"id":"https://openalex.org/C162324750","wikidata":"https://www.wikidata.org/wiki/Q8134","display_name":"Economics","level":0,"score":0.0},{"id":"https://openalex.org/C187736073","wikidata":"https://www.wikidata.org/wiki/Q2920921","display_name":"Management","level":1,"score":0.0},{"id":"https://openalex.org/C151730666","wikidata":"https://www.wikidata.org/wiki/Q7205","display_name":"Paleontology","level":1,"score":0.0},{"id":"https://openalex.org/C86803240","wikidata":"https://www.wikidata.org/wiki/Q420","display_name":"Biology","level":0,"score":0.0},{"id":"https://openalex.org/C44870925","wikidata":"https://www.wikidata.org/wiki/Q37547","display_name":"Astrophysics","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/C19417346","wikidata":"https://www.wikidata.org/wiki/Q7922","display_name":"Pedagogy","level":1,"score":0.0}],"mesh":[],"locations_count":2,"locations":[{"id":"doi:10.1109/avss.2016.7738022","is_oa":false,"landing_page_url":"https://doi.org/10.1109/avss.2016.7738022","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2016 13th IEEE International Conference on Advanced Video and Signal Based Surveillance (AVSS)","raw_type":"proceedings-article"},{"id":"pmh:oai:HAL:hal-01383186v1","is_oa":true,"landing_page_url":"https://inria.hal.science/hal-01383186","pdf_url":null,"source":{"id":"https://openalex.org/S4306402512","display_name":"HAL (Le Centre pour la Communication Scientifique Directe)","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"host_organization":"https://openalex.org/I1294671590","host_organization_name":"Centre National de la Recherche Scientifique","host_organization_lineage":["https://openalex.org/I1294671590"],"host_organization_lineage_names":[],"type":"repository"},"license":"other-oa","license_id":"https://openalex.org/licenses/other-oa","version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":"Advance Video and Signal-based Surveillance, IEEE, Aug 2016, Colorado Springs, United States","raw_type":"Conference papers"}],"best_oa_location":{"id":"pmh:oai:HAL:hal-01383186v1","is_oa":true,"landing_page_url":"https://inria.hal.science/hal-01383186","pdf_url":null,"source":{"id":"https://openalex.org/S4306402512","display_name":"HAL (Le Centre pour la Communication Scientifique Directe)","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"host_organization":"https://openalex.org/I1294671590","host_organization_name":"Centre National de la Recherche Scientifique","host_organization_lineage":["https://openalex.org/I1294671590"],"host_organization_lineage_names":[],"type":"repository"},"license":"other-oa","license_id":"https://openalex.org/licenses/other-oa","version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":"Advance Video and Signal-based Surveillance, IEEE, Aug 2016, Colorado Springs, United States","raw_type":"Conference papers"},"sustainable_development_goals":[{"score":0.5,"display_name":"Reduced inequalities","id":"https://metadata.un.org/sdg/10"},{"score":0.49000000953674316,"display_name":"Peace, Justice and strong institutions","id":"https://metadata.un.org/sdg/16"}],"awards":[],"funders":[{"id":"https://openalex.org/F4320320300","display_name":"European Commission","ror":"https://ror.org/00k4n6c32"}],"has_content":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":18,"referenced_works":["https://openalex.org/W1528063097","https://openalex.org/W1773419704","https://openalex.org/W1953543454","https://openalex.org/W1971629813","https://openalex.org/W2016501341","https://openalex.org/W2055022211","https://openalex.org/W2082716591","https://openalex.org/W2111644456","https://openalex.org/W2134529534","https://openalex.org/W2136579260","https://openalex.org/W2155541267","https://openalex.org/W2162739513","https://openalex.org/W2163385949","https://openalex.org/W2171243491","https://openalex.org/W2343841668","https://openalex.org/W2542728414","https://openalex.org/W6631487387","https://openalex.org/W6704607863"],"related_works":["https://openalex.org/W4320086059","https://openalex.org/W4313480467","https://openalex.org/W4210734798","https://openalex.org/W4312249400","https://openalex.org/W3093712048","https://openalex.org/W3159642117","https://openalex.org/W2985391290","https://openalex.org/W1904671147","https://openalex.org/W3015573086","https://openalex.org/W4313854689"],"abstract_inverted_index":{"The":[0,25,55,90,118],"characteristics":[1],"like":[2],"density":[3],"of":[4,22,27,63,142,149],"objects,":[5],"their":[6,13],"contrast":[7],"with":[8,105],"respect":[9,106],"to":[10,33,85,101,107],"surrounding":[11,76,108],"background,":[12],"occlusion":[14,148],"level":[15],"and":[16,81,128,147],"many":[17],"more":[18],"describe":[19],"the":[20,23,28,61,72,74,99,113,136],"context":[21,29,51,69,75,109],"scene.":[24,117],"variation":[26],"represents":[30],"ambiguous":[31],"task":[32],"be":[34],"solved":[35],"by":[36,50,58],"tracker.":[37],"In":[38],"this":[39],"paper":[40],"we":[41],"present":[42],"a":[43],"new":[44],"long":[45],"term":[46],"tracking":[47],"framework":[48,56,120],"boosted":[49],"around":[52],"each":[53,77,96],"tracklet.":[54],"works":[57],"first":[59],"learning":[60],"database":[62,84],"optimal":[64],"tracker":[65,88,91],"parameters":[66,92,114],"for":[67,95,115],"various":[68],"offline.":[70],"During":[71],"testing,":[73],"tracklet":[78,97],"is":[79,121],"extracted":[80],"match":[82],"against":[83],"select":[86],"best":[87],"parameters.":[89],"are":[93],"tuned":[94],"in":[98,140],"scene":[100],"highlight":[102],"its":[103],"discrimination":[104],"rather":[110],"than":[111],"tuning":[112],"whole":[116],"proposed":[119],"trained":[122],"on":[123,130],"9":[124],"public":[125],"video":[126],"sequences":[127],"tested":[129],"3":[131],"unseen":[132],"sets.":[133],"It":[134],"outperforms":[135],"state-of-art":[137],"pedestrian":[138],"trackers":[139],"scenarios":[141],"motion":[143],"changes,":[144],"appearance":[145],"changes":[146],"objects.":[150]},"counts_by_year":[{"year":2025,"cited_by_count":1},{"year":2024,"cited_by_count":1},{"year":2021,"cited_by_count":3},{"year":2018,"cited_by_count":1},{"year":2017,"cited_by_count":3}],"updated_date":"2026-04-05T17:49:38.594831","created_date":"2025-10-10T00:00:00"}
