{"id":"https://openalex.org/W4393853554","doi":"https://doi.org/10.1117/12.3023362","title":"False positive elimination in object detection methods for videos","display_name":"False positive elimination in object detection methods for videos","publication_year":2024,"publication_date":"2024-04-03","ids":{"openalex":"https://openalex.org/W4393853554","doi":"https://doi.org/10.1117/12.3023362"},"language":"en","primary_location":{"id":"doi:10.1117/12.3023362","is_oa":false,"landing_page_url":"https://doi.org/10.1117/12.3023362","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Sixteenth International Conference on Machine Vision (ICMV 2023)","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/A5058180194","display_name":"Shubham Dubey","orcid":"https://orcid.org/0000-0002-9623-7605"},"institutions":[{"id":"https://openalex.org/I65181880","display_name":"Indian Institute of Technology Hyderabad","ror":"https://ror.org/01j4v3x97","country_code":"IN","type":"education","lineage":["https://openalex.org/I65181880"]}],"countries":["IN"],"is_corresponding":true,"raw_author_name":"Shubham Kumar Dubey","raw_affiliation_strings":["Indian Institute of Technology Hyderabad (India)"],"affiliations":[{"raw_affiliation_string":"Indian Institute of Technology Hyderabad (India)","institution_ids":["https://openalex.org/I65181880"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5103045317","display_name":"J. V. Satyanarayana","orcid":"https://orcid.org/0000-0001-5415-3721"},"institutions":[{"id":"https://openalex.org/I65181880","display_name":"Indian Institute of Technology Hyderabad","ror":"https://ror.org/01j4v3x97","country_code":"IN","type":"education","lineage":["https://openalex.org/I65181880"]}],"countries":["IN"],"is_corresponding":false,"raw_author_name":"J V Satyanarayana","raw_affiliation_strings":["Indian Institute of Technology Hyderabad (India)"],"affiliations":[{"raw_affiliation_string":"Indian Institute of Technology Hyderabad (India)","institution_ids":["https://openalex.org/I65181880"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5012566120","display_name":"C. Krishna Mohan","orcid":"https://orcid.org/0000-0002-7316-0836"},"institutions":[{"id":"https://openalex.org/I65181880","display_name":"Indian Institute of Technology Hyderabad","ror":"https://ror.org/01j4v3x97","country_code":"IN","type":"education","lineage":["https://openalex.org/I65181880"]}],"countries":["IN"],"is_corresponding":false,"raw_author_name":"C Krishna Mohan","raw_affiliation_strings":["Indian Institute of Technology Hyderabad (India)"],"affiliations":[{"raw_affiliation_string":"Indian Institute of Technology Hyderabad (India)","institution_ids":["https://openalex.org/I65181880"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":3,"corresponding_author_ids":["https://openalex.org/A5058180194"],"corresponding_institution_ids":["https://openalex.org/I65181880"],"apc_list":null,"apc_paid":null,"fwci":4.4612,"has_fulltext":false,"cited_by_count":17,"citation_normalized_percentile":{"value":0.95583785,"is_in_top_1_percent":false,"is_in_top_10_percent":true},"cited_by_percentile_year":{"min":91,"max":100},"biblio":{"volume":null,"issue":null,"first_page":"17","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":0.9998000264167786,"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":0.9998000264167786,"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/T11512","display_name":"Anomaly Detection Techniques and Applications","score":0.9975000023841858,"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"}},{"id":"https://openalex.org/T10057","display_name":"Face and Expression Recognition","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"}}],"keywords":[{"id":"https://openalex.org/keywords/sort","display_name":"sort","score":0.8197221755981445},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.7640132904052734},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.6950900554656982},{"id":"https://openalex.org/keywords/object-detection","display_name":"Object detection","score":0.6799256801605225},{"id":"https://openalex.org/keywords/autoencoder","display_name":"Autoencoder","score":0.6561790704727173},{"id":"https://openalex.org/keywords/false-positive-paradox","display_name":"False positive paradox","score":0.6363645792007446},{"id":"https://openalex.org/keywords/feature","display_name":"Feature (linguistics)","score":0.5522350668907166},{"id":"https://openalex.org/keywords/computer-vision","display_name":"Computer vision","score":0.49079570174217224},{"id":"https://openalex.org/keywords/deep-learning","display_name":"Deep learning","score":0.48985716700553894},{"id":"https://openalex.org/keywords/metric","display_name":"Metric (unit)","score":0.4860101640224457},{"id":"https://openalex.org/keywords/pattern-recognition","display_name":"Pattern recognition (psychology)","score":0.4623395800590515},{"id":"https://openalex.org/keywords/kalman-filter","display_name":"Kalman filter","score":0.44549161195755005},{"id":"https://openalex.org/keywords/object","display_name":"Object (grammar)","score":0.43155261874198914},{"id":"https://openalex.org/keywords/engineering","display_name":"Engineering","score":0.07734659314155579}],"concepts":[{"id":"https://openalex.org/C88548561","wikidata":"https://www.wikidata.org/wiki/Q347599","display_name":"sort","level":2,"score":0.8197221755981445},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.7640132904052734},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.6950900554656982},{"id":"https://openalex.org/C2776151529","wikidata":"https://www.wikidata.org/wiki/Q3045304","display_name":"Object detection","level":3,"score":0.6799256801605225},{"id":"https://openalex.org/C101738243","wikidata":"https://www.wikidata.org/wiki/Q786435","display_name":"Autoencoder","level":3,"score":0.6561790704727173},{"id":"https://openalex.org/C64869954","wikidata":"https://www.wikidata.org/wiki/Q1859747","display_name":"False positive paradox","level":2,"score":0.6363645792007446},{"id":"https://openalex.org/C2776401178","wikidata":"https://www.wikidata.org/wiki/Q12050496","display_name":"Feature (linguistics)","level":2,"score":0.5522350668907166},{"id":"https://openalex.org/C31972630","wikidata":"https://www.wikidata.org/wiki/Q844240","display_name":"Computer vision","level":1,"score":0.49079570174217224},{"id":"https://openalex.org/C108583219","wikidata":"https://www.wikidata.org/wiki/Q197536","display_name":"Deep learning","level":2,"score":0.48985716700553894},{"id":"https://openalex.org/C176217482","wikidata":"https://www.wikidata.org/wiki/Q860554","display_name":"Metric (unit)","level":2,"score":0.4860101640224457},{"id":"https://openalex.org/C153180895","wikidata":"https://www.wikidata.org/wiki/Q7148389","display_name":"Pattern recognition (psychology)","level":2,"score":0.4623395800590515},{"id":"https://openalex.org/C157286648","wikidata":"https://www.wikidata.org/wiki/Q846780","display_name":"Kalman filter","level":2,"score":0.44549161195755005},{"id":"https://openalex.org/C2781238097","wikidata":"https://www.wikidata.org/wiki/Q175026","display_name":"Object (grammar)","level":2,"score":0.43155261874198914},{"id":"https://openalex.org/C127413603","wikidata":"https://www.wikidata.org/wiki/Q11023","display_name":"Engineering","level":0,"score":0.07734659314155579},{"id":"https://openalex.org/C21547014","wikidata":"https://www.wikidata.org/wiki/Q1423657","display_name":"Operations management","level":1,"score":0.0},{"id":"https://openalex.org/C41895202","wikidata":"https://www.wikidata.org/wiki/Q8162","display_name":"Linguistics","level":1,"score":0.0},{"id":"https://openalex.org/C23123220","wikidata":"https://www.wikidata.org/wiki/Q816826","display_name":"Information retrieval","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}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1117/12.3023362","is_oa":false,"landing_page_url":"https://doi.org/10.1117/12.3023362","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Sixteenth International Conference on Machine Vision (ICMV 2023)","raw_type":"proceedings-article"}],"best_oa_location":null,"sustainable_development_goals":[{"id":"https://metadata.un.org/sdg/5","display_name":"Gender equality","score":0.4699999988079071}],"awards":[],"funders":[],"has_content":{"grobid_xml":false,"pdf":false},"content_urls":null,"referenced_works_count":23,"referenced_works":["https://openalex.org/W639708223","https://openalex.org/W1515097521","https://openalex.org/W1686810756","https://openalex.org/W1975547340","https://openalex.org/W2107401725","https://openalex.org/W2127923214","https://openalex.org/W2150440166","https://openalex.org/W2597507805","https://openalex.org/W2896696305","https://openalex.org/W4242177601","https://openalex.org/W4249366667","https://openalex.org/W6620707391","https://openalex.org/W6628973269","https://openalex.org/W6637373629","https://openalex.org/W6683411478","https://openalex.org/W6684392942","https://openalex.org/W6687483927","https://openalex.org/W6735331427","https://openalex.org/W6745383822","https://openalex.org/W6748207017","https://openalex.org/W6755621087","https://openalex.org/W6785652829","https://openalex.org/W6855462042"],"related_works":["https://openalex.org/W3013693939","https://openalex.org/W2159052453","https://openalex.org/W2566616303","https://openalex.org/W3131327266","https://openalex.org/W2734887215","https://openalex.org/W4297051394","https://openalex.org/W2752972570","https://openalex.org/W2145836866","https://openalex.org/W2803255133","https://openalex.org/W2909431601"],"abstract_inverted_index":{"A":[0],"robust":[1],"object":[2],"detection":[3,61],"algorithm":[4,43,62],"is":[5,27],"essential":[6],"while":[7],"detecting":[8],"objects":[9],"in":[10,21,105,138,146],"videos":[11],"and":[12,33,144],"real":[13,117],"time":[14,118],"scenarios,":[15],"where":[16],"false":[17,53,148],"positives":[18],"might":[19],"result":[20],"unwanted":[22],"outcomes.":[23],"Our":[24],"goal":[25],"here":[26],"to":[28,51,92,140],"observe":[29],"how":[30,132],"Simple":[31],"Online":[32],"Real-time":[34],"Tracking":[35,46],"with":[36],"a":[37,56],"Deep":[38,125,135,142],"association":[39],"metric":[40],"(Deep":[41],"SORT)":[42],"for":[44],"Multi-Object":[45],"(MOT)":[47],"can":[48],"be":[49],"used":[50],"minimize":[52],"positives,":[54],"from":[55],"state":[57],"of":[58,85,96],"the":[59,71,86,97,106,121],"art":[60],"like":[63,90],"You":[64],"Only":[65],"Look":[66],"Once":[67],"(YOLO),":[68],"by":[69],"using":[70],"Kalman":[72],"filter":[73],"approach.":[74],"An":[75],"auto":[76],"encoder":[77],"based":[78,134],"feature":[79],"extractor":[80],"has":[81,130],"been":[82,101],"used,":[83],"instead":[84],"standard":[87],"CNN":[88],"networks":[89],"ResNet-50":[91],"further":[93],"improve":[94],"speed":[95],"detector.":[98],"There":[99],"have":[100],"other":[102],"MOT":[103],"algorithms":[104],"recent":[107],"times":[108],"which":[109],"give":[110],"good":[111],"results,":[112],"but":[113],"are":[114],"not":[115],"as":[116,120],"efficient":[119,124],"simple":[122],"yet":[123],"SORT":[126,136,143],"method.":[127],"Experimental":[128],"analysis":[129],"shown":[131],"Autoencoder":[133],"performs":[137],"contrast":[139],"native":[141],"YOLO,":[145],"eliminating":[147],"positive":[149],"detections.":[150]},"counts_by_year":[{"year":2025,"cited_by_count":1},{"year":2024,"cited_by_count":16}],"updated_date":"2026-01-23T23:20:30.427331","created_date":"2025-10-10T00:00:00"}