{"id":"https://openalex.org/W3142629025","doi":"https://doi.org/10.3233/faia200043","title":"Visual Traffic Surveillance: A Concise Survey","display_name":"Visual Traffic Surveillance: A Concise Survey","publication_year":2020,"publication_date":"2020-01-01","ids":{"openalex":"https://openalex.org/W3142629025","doi":"https://doi.org/10.3233/faia200043","mag":"3142629025"},"language":"en","primary_location":{"id":"doi:10.3233/faia200043","is_oa":false,"landing_page_url":"https://doi.org/10.3233/faia200043","pdf_url":null,"source":{"id":"https://openalex.org/S4210201731","display_name":"Frontiers in artificial intelligence and applications","issn_l":"0922-6389","issn":["0922-6389","1879-8314"],"is_oa":false,"is_in_doaj":false,"is_core":true,"host_organization":null,"host_organization_name":null,"host_organization_lineage":[],"host_organization_lineage_names":[],"type":"journal"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Frontiers in Artificial Intelligence and Applications","raw_type":"book-chapter"},"type":"book-chapter","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/A5116344269","display_name":"Mondal Atreyee","orcid":null},"institutions":[],"countries":[],"is_corresponding":true,"raw_author_name":"Mondal Atreyee","raw_affiliation_strings":[],"affiliations":[]},{"author_position":"middle","author":{"id":"https://openalex.org/A5116396249","display_name":"Dutta Anjan","orcid":null},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Dutta Anjan","raw_affiliation_strings":[],"affiliations":[]},{"author_position":"middle","author":{"id":"https://openalex.org/A5000975435","display_name":"Nilanjan Dey","orcid":"https://orcid.org/0000-0001-8437-498X"},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Dey Nilanjan","raw_affiliation_strings":[],"affiliations":[]},{"author_position":"last","author":{"id":"https://openalex.org/A5053512639","display_name":"Sen Soumya","orcid":null},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Sen Soumya","raw_affiliation_strings":[],"affiliations":[]}],"institutions":[],"countries_distinct_count":0,"institutions_distinct_count":4,"corresponding_author_ids":["https://openalex.org/A5116344269"],"corresponding_institution_ids":[],"apc_list":null,"apc_paid":null,"fwci":0.6174,"has_fulltext":false,"cited_by_count":6,"citation_normalized_percentile":{"value":0.80521997,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":91,"max":97},"biblio":{"volume":null,"issue":null,"first_page":"32","last_page":"41"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10331","display_name":"Video Surveillance and Tracking Methods","score":0.8788999915122986,"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":0.8788999915122986,"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/T10388","display_name":"Advanced Steganography and Watermarking Techniques","score":0.7587000131607056,"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-science","display_name":"Computer science","score":0.4643896520137787},{"id":"https://openalex.org/keywords/geography","display_name":"Geography","score":0.36119621992111206}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.4643896520137787},{"id":"https://openalex.org/C205649164","wikidata":"https://www.wikidata.org/wiki/Q1071","display_name":"Geography","level":0,"score":0.36119621992111206}],"mesh":[],"locations_count":2,"locations":[{"id":"doi:10.3233/faia200043","is_oa":false,"landing_page_url":"https://doi.org/10.3233/faia200043","pdf_url":null,"source":{"id":"https://openalex.org/S4210201731","display_name":"Frontiers in artificial intelligence and applications","issn_l":"0922-6389","issn":["0922-6389","1879-8314"],"is_oa":false,"is_in_doaj":false,"is_core":true,"host_organization":null,"host_organization_name":null,"host_organization_lineage":[],"host_organization_lineage_names":[],"type":"journal"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Frontiers in Artificial Intelligence and Applications","raw_type":"book-chapter"},{"id":"mag:3142629025","is_oa":false,"landing_page_url":"http://ebooks.iospress.nl/volumearticle/53868","pdf_url":null,"source":null,"license":null,"license_id":null,"version":null,"is_accepted":false,"is_published":null,"raw_source_name":null,"raw_type":null}],"best_oa_location":null,"sustainable_development_goals":[],"awards":[],"funders":[],"has_content":{"grobid_xml":false,"pdf":false},"content_urls":null,"referenced_works_count":0,"referenced_works":[],"related_works":["https://openalex.org/W4391375266","https://openalex.org/W2899084033","https://openalex.org/W2748952813","https://openalex.org/W2390279801","https://openalex.org/W4391913857","https://openalex.org/W2358668433","https://openalex.org/W4396701345","https://openalex.org/W2376932109","https://openalex.org/W2001405890","https://openalex.org/W4396696052"],"abstract_inverted_index":{"Visual":[0],"Traffic":[1],"Surveillance":[2,24],"has":[3,139],"become":[4],"a":[5,177,205],"significant":[6],"framework":[7],"in":[8,18,34,49,77,113,128,143,154,167,188],"vision":[9],"computing":[10],"with":[11,106,195],"the":[12,50,68,82,92,123,162,170,173,200],"advent":[13],"of":[14,40,70,88,125,132,161,172,180,183,199],"intelligent":[15],"transport":[16],"system":[17,25,42,84,201],"recent":[19],"years.":[20],"The":[21,37,116,191],"Automatic":[22],"Vehicle":[23,135],"is":[26,43,208],"gaining":[27],"growing":[28],"attention":[29],"to":[30,44,122],"handle":[31],"traffic":[32],"congestion":[33],"urban":[35],"roadways.":[36],"primary":[38],"task":[39],"such":[41],"detect":[45],"any":[46],"moving":[47],"object":[48],"video":[51],"sequence,":[52],"robustly":[53],"track":[54],"and":[55,73,90,111,137,151,204],"finally":[56],"classify":[57],"into":[58],"different":[59,181],"categories.":[60],"Motion":[61],"Segmentation":[62],"plays":[63],"an":[64,140],"important":[65],"role":[66],"among":[67],"methods":[69,182],"vehicle":[71,101],"detection":[72,136,185],"are":[74,95,104,186,202],"briefly":[75],"discussed":[76],"this":[78,114,189],"study.":[79,115],"After":[80],"detection,":[81,176],"surveillance":[83,117],"should":[85,164],"be":[86,165],"capable":[87],"tracking":[89,98,102,138],"classifying":[91],"vehicles.":[93],"There":[94],"several":[96],"conventional":[97],"techniques":[99],"for":[100],"which":[103],"explained":[105],"its":[107],"related":[108],"researches,":[109],"advantages":[110],"limitations":[112],"becomes":[118],"more":[119],"challenging":[120],"due":[121],"presence":[124],"occlusion,":[126],"variance":[127],"illumination,":[129],"unusual":[130,174],"orientation":[131],"vehicles":[133,163],"etc.":[134],"emerging":[141],"application":[142,197],"real":[144],"time":[145],"passenger":[146],"management":[147],"system,":[148],"security":[149],"issues":[150],"accident":[152],"prevention":[153],"highways.":[155],"To":[156],"prevent":[157],"accidents,":[158],"abnormal":[159],"behaviour":[160,175],"detected":[166],"advance.":[168],"For":[169],"achievement":[171],"comprehensive":[178],"analysis":[179],"anomaly":[184],"highlighted":[187],"survey.":[190],"challenges,":[192],"future":[193],"scope":[194],"notable":[196],"domains":[198],"located":[203],"dominant":[206],"bibliography":[207],"also":[209],"included.":[210]},"counts_by_year":[{"year":2025,"cited_by_count":1},{"year":2022,"cited_by_count":3},{"year":2021,"cited_by_count":2}],"updated_date":"2025-11-06T03:46:38.306776","created_date":"2025-10-10T00:00:00"}
