{"id":"https://openalex.org/W2096443800","doi":"https://doi.org/10.1109/icassp.2004.1326470","title":"Contour-based object tracking with gradient-based contour attraction field","display_name":"Contour-based object tracking with gradient-based contour attraction field","publication_year":2004,"publication_date":"2004-09-28","ids":{"openalex":"https://openalex.org/W2096443800","doi":"https://doi.org/10.1109/icassp.2004.1326470","mag":"2096443800"},"language":"en","primary_location":{"id":"doi:10.1109/icassp.2004.1326470","is_oa":false,"landing_page_url":"https://doi.org/10.1109/icassp.2004.1326470","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2004 IEEE International Conference on Acoustics, Speech, and Signal Processing","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/A5000823984","display_name":"Petr Dokl\u00e1dal","orcid":"https://orcid.org/0000-0002-6502-7461"},"institutions":[{"id":"https://openalex.org/I70768539","display_name":"\u00c9cole Nationale Sup\u00e9rieure des Mines de Paris","ror":"https://ror.org/04y8cs423","country_code":"FR","type":"education","lineage":["https://openalex.org/I190752583","https://openalex.org/I2746051580","https://openalex.org/I70768539"]}],"countries":["FR"],"is_corresponding":true,"raw_author_name":"P. Dokladal","raw_affiliation_strings":["School of Mines of Paris, Center of Mathematical Morphology, Fontainebleau, France","Center of Math. Morphology, Sch. of Mines of Paris, Fontainebleau, France"],"affiliations":[{"raw_affiliation_string":"School of Mines of Paris, Center of Mathematical Morphology, Fontainebleau, France","institution_ids":["https://openalex.org/I70768539"]},{"raw_affiliation_string":"Center of Math. Morphology, Sch. of Mines of Paris, Fontainebleau, France","institution_ids":["https://openalex.org/I70768539"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5023920421","display_name":"Raffi Enficiaud","orcid":null},"institutions":[{"id":"https://openalex.org/I70768539","display_name":"\u00c9cole Nationale Sup\u00e9rieure des Mines de Paris","ror":"https://ror.org/04y8cs423","country_code":"FR","type":"education","lineage":["https://openalex.org/I190752583","https://openalex.org/I2746051580","https://openalex.org/I70768539"]}],"countries":["FR"],"is_corresponding":false,"raw_author_name":"R. Enficiaud","raw_affiliation_strings":["School of Mines of Paris, Center of Mathematical Morphology, Fontainebleau, France","Center of Math. Morphology, Sch. of Mines of Paris, Fontainebleau, France"],"affiliations":[{"raw_affiliation_string":"School of Mines of Paris, Center of Mathematical Morphology, Fontainebleau, France","institution_ids":["https://openalex.org/I70768539"]},{"raw_affiliation_string":"Center of Math. Morphology, Sch. of Mines of Paris, Fontainebleau, France","institution_ids":["https://openalex.org/I70768539"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5058983346","display_name":"E. Dejnozkova","orcid":null},"institutions":[{"id":"https://openalex.org/I70768539","display_name":"\u00c9cole Nationale Sup\u00e9rieure des Mines de Paris","ror":"https://ror.org/04y8cs423","country_code":"FR","type":"education","lineage":["https://openalex.org/I190752583","https://openalex.org/I2746051580","https://openalex.org/I70768539"]}],"countries":["FR"],"is_corresponding":false,"raw_author_name":"E. Dejnozkova","raw_affiliation_strings":["School of Mines of Paris, Center of Mathematical Morphology, Fontainebleau, France","Center of Math. Morphology, Sch. of Mines of Paris, Fontainebleau, France"],"affiliations":[{"raw_affiliation_string":"School of Mines of Paris, Center of Mathematical Morphology, Fontainebleau, France","institution_ids":["https://openalex.org/I70768539"]},{"raw_affiliation_string":"Center of Math. Morphology, Sch. of Mines of Paris, Fontainebleau, France","institution_ids":["https://openalex.org/I70768539"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":3,"corresponding_author_ids":["https://openalex.org/A5000823984"],"corresponding_institution_ids":["https://openalex.org/I70768539"],"apc_list":null,"apc_paid":null,"fwci":0.2773,"has_fulltext":false,"cited_by_count":9,"citation_normalized_percentile":{"value":0.60994704,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":89,"max":94},"biblio":{"volume":"3","issue":null,"first_page":"iii","last_page":"17"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10331","display_name":"Video Surveillance and Tracking Methods","score":0.9994999766349792,"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":0.9994999766349792,"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/T10531","display_name":"Advanced Vision and Imaging","score":0.9947999715805054,"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/T11019","display_name":"Image Enhancement Techniques","score":0.980400025844574,"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"}}],"keywords":[{"id":"https://openalex.org/keywords/computer-vision","display_name":"Computer vision","score":0.7904410362243652},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.7896056175231934},{"id":"https://openalex.org/keywords/tracking","display_name":"Tracking (education)","score":0.6496665477752686},{"id":"https://openalex.org/keywords/feature","display_name":"Feature (linguistics)","score":0.6208811402320862},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.5764467120170593},{"id":"https://openalex.org/keywords/brightness","display_name":"Brightness","score":0.5202676057815552},{"id":"https://openalex.org/keywords/active-contour-model","display_name":"Active contour model","score":0.48708203434944153},{"id":"https://openalex.org/keywords/object","display_name":"Object (grammar)","score":0.47835439443588257},{"id":"https://openalex.org/keywords/video-tracking","display_name":"Video tracking","score":0.45884522795677185},{"id":"https://openalex.org/keywords/pattern-recognition","display_name":"Pattern recognition (psychology)","score":0.3605723977088928},{"id":"https://openalex.org/keywords/image","display_name":"Image (mathematics)","score":0.16782698035240173},{"id":"https://openalex.org/keywords/image-segmentation","display_name":"Image segmentation","score":0.13780507445335388},{"id":"https://openalex.org/keywords/physics","display_name":"Physics","score":0.10698562860488892},{"id":"https://openalex.org/keywords/optics","display_name":"Optics","score":0.07071709632873535}],"concepts":[{"id":"https://openalex.org/C31972630","wikidata":"https://www.wikidata.org/wiki/Q844240","display_name":"Computer vision","level":1,"score":0.7904410362243652},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.7896056175231934},{"id":"https://openalex.org/C2775936607","wikidata":"https://www.wikidata.org/wiki/Q466845","display_name":"Tracking (education)","level":2,"score":0.6496665477752686},{"id":"https://openalex.org/C2776401178","wikidata":"https://www.wikidata.org/wiki/Q12050496","display_name":"Feature (linguistics)","level":2,"score":0.6208811402320862},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.5764467120170593},{"id":"https://openalex.org/C125245961","wikidata":"https://www.wikidata.org/wiki/Q221656","display_name":"Brightness","level":2,"score":0.5202676057815552},{"id":"https://openalex.org/C112353826","wikidata":"https://www.wikidata.org/wiki/Q127313","display_name":"Active contour model","level":4,"score":0.48708203434944153},{"id":"https://openalex.org/C2781238097","wikidata":"https://www.wikidata.org/wiki/Q175026","display_name":"Object (grammar)","level":2,"score":0.47835439443588257},{"id":"https://openalex.org/C202474056","wikidata":"https://www.wikidata.org/wiki/Q1931635","display_name":"Video tracking","level":3,"score":0.45884522795677185},{"id":"https://openalex.org/C153180895","wikidata":"https://www.wikidata.org/wiki/Q7148389","display_name":"Pattern recognition (psychology)","level":2,"score":0.3605723977088928},{"id":"https://openalex.org/C115961682","wikidata":"https://www.wikidata.org/wiki/Q860623","display_name":"Image (mathematics)","level":2,"score":0.16782698035240173},{"id":"https://openalex.org/C124504099","wikidata":"https://www.wikidata.org/wiki/Q56933","display_name":"Image segmentation","level":3,"score":0.13780507445335388},{"id":"https://openalex.org/C121332964","wikidata":"https://www.wikidata.org/wiki/Q413","display_name":"Physics","level":0,"score":0.10698562860488892},{"id":"https://openalex.org/C120665830","wikidata":"https://www.wikidata.org/wiki/Q14620","display_name":"Optics","level":1,"score":0.07071709632873535},{"id":"https://openalex.org/C19417346","wikidata":"https://www.wikidata.org/wiki/Q7922","display_name":"Pedagogy","level":1,"score":0.0},{"id":"https://openalex.org/C138885662","wikidata":"https://www.wikidata.org/wiki/Q5891","display_name":"Philosophy","level":0,"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/C41895202","wikidata":"https://www.wikidata.org/wiki/Q8162","display_name":"Linguistics","level":1,"score":0.0}],"mesh":[],"locations_count":2,"locations":[{"id":"doi:10.1109/icassp.2004.1326470","is_oa":false,"landing_page_url":"https://doi.org/10.1109/icassp.2004.1326470","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2004 IEEE International Conference on Acoustics, Speech, and Signal Processing","raw_type":"proceedings-article"},{"id":"pmh:oai:HAL:hal-00622296v1","is_oa":false,"landing_page_url":"https://hal.science/hal-00622296","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":null,"license_id":null,"version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":"IEEE International Conference on Accoustics, Speech and Signal Processing (ICASSP'04), 2004, France. pp.17-20","raw_type":"Conference papers"}],"best_oa_location":null,"sustainable_development_goals":[{"id":"https://metadata.un.org/sdg/11","score":0.6600000262260437,"display_name":"Sustainable cities and communities"}],"awards":[],"funders":[],"has_content":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":11,"referenced_works":["https://openalex.org/W1540035247","https://openalex.org/W1551231741","https://openalex.org/W1566856090","https://openalex.org/W2021592569","https://openalex.org/W2026649987","https://openalex.org/W2076305001","https://openalex.org/W2100358114","https://openalex.org/W2113511941","https://openalex.org/W2119374145","https://openalex.org/W2121601095","https://openalex.org/W2145803225"],"related_works":["https://openalex.org/W2786750592","https://openalex.org/W2000662299","https://openalex.org/W2542007731","https://openalex.org/W4285271403","https://openalex.org/W2968379562","https://openalex.org/W3156013036","https://openalex.org/W4388689193","https://openalex.org/W2892070025","https://openalex.org/W29633852","https://openalex.org/W2091015105"],"abstract_inverted_index":{"Object":[0],"tracking":[1,88,98],"is":[2,6,26,53,61,93],"a":[3,62,79],"problem":[4],"which":[5],"very":[7],"often":[8],"addressed":[9],"by":[10,42],"various":[11],"approaches,":[12],"including":[13],"background":[14],"subtraction,":[15],"visual":[16],"constancy":[17],"or":[18],"geometric":[19],"flow.":[20],"The":[21,56,83],"contribution":[22],"of":[23,38,85],"this":[24,43],"paper":[25],"twofold.":[27],"First,":[28],"it":[29],"proposes":[30],"an":[31],"enhanced":[32],"feature-weighted":[33],"gradient,":[34],"enhancing":[35],"the":[36,39,47,51,71,74,86,90,96,101,108],"contours":[37,76],"object":[40,75],"characterized":[41],"feature,":[44],"and":[45,58,77,89],"attenuating":[46],"gradient":[48,72,92],"amplitude":[49],"wherever":[50],"feature":[52],"not":[54],"found.":[55],"second,":[57],"main":[59],"contribution,":[60],"new":[63],"integrator":[64],"for":[65],"active-contours":[66],"based":[67],"tracking.":[68],"It":[69],"uses":[70],"alongside":[73],"generates":[78],"bidirectional":[80],"attraction":[81],"field.":[82],"combination":[84],"contour":[87],"weighted":[91],"illustrated":[94],"on":[95],"driver's-face":[97],"problem,":[99],"where":[100],"illumination":[102],"conditions":[103],"(brightness,":[104],"colour)":[105],"change":[106],"as":[107],"vehicle":[109],"passes":[110],"through":[111],"different":[112],"environments.":[113]},"counts_by_year":[{"year":2024,"cited_by_count":1},{"year":2022,"cited_by_count":1},{"year":2018,"cited_by_count":1},{"year":2017,"cited_by_count":1},{"year":2016,"cited_by_count":1},{"year":2014,"cited_by_count":1}],"updated_date":"2026-03-10T16:38:18.471706","created_date":"2025-10-10T00:00:00"}