{"id":"https://openalex.org/W4385301019","doi":"https://doi.org/10.1109/iv55152.2023.10186655","title":"Multi-Object Tracking, Segmentation and Validation in Thermal Images","display_name":"Multi-Object Tracking, Segmentation and Validation in Thermal Images","publication_year":2023,"publication_date":"2023-06-04","ids":{"openalex":"https://openalex.org/W4385301019","doi":"https://doi.org/10.1109/iv55152.2023.10186655"},"language":"en","primary_location":{"id":"doi:10.1109/iv55152.2023.10186655","is_oa":false,"landing_page_url":"https://doi.org/10.1109/iv55152.2023.10186655","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2023 IEEE Intelligent Vehicles Symposium (IV)","raw_type":"proceedings-article"},"type":"conference-paper","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/A5031091271","display_name":"Mircea Paul Muresan","orcid":"https://orcid.org/0000-0003-0315-3507"},"institutions":[{"id":"https://openalex.org/I158333966","display_name":"Technical University of Cluj-Napoca","ror":"https://ror.org/03r8nwp71","country_code":"RO","type":"education","lineage":["https://openalex.org/I158333966"]}],"countries":["RO"],"is_corresponding":false,"raw_author_name":"Mircea Paul Muresan","raw_affiliation_strings":["Technical University of Cluj-Napoca,Computer Science Department,Cluj-Napoca,Romania","Computer Science Department, Technical University of Cluj-Napoca, Cluj-Napoca, Romania"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Technical University of Cluj-Napoca,Computer Science Department,Cluj-Napoca,Romania","institution_ids":["https://openalex.org/I158333966"]},{"raw_affiliation_string":"Computer Science Department, Technical University of Cluj-Napoca, Cluj-Napoca, Romania","institution_ids":["https://openalex.org/I158333966"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5014747694","display_name":"Radu D\u0103nescu","orcid":"https://orcid.org/0000-0002-4515-8114"},"institutions":[{"id":"https://openalex.org/I158333966","display_name":"Technical University of Cluj-Napoca","ror":"https://ror.org/03r8nwp71","country_code":"RO","type":"education","lineage":["https://openalex.org/I158333966"]}],"countries":["RO"],"is_corresponding":false,"raw_author_name":"Radu Danescu","raw_affiliation_strings":["Technical University of Cluj-Napoca,Computer Science Department,Cluj-Napoca,Romania","Computer Science Department, Technical University of Cluj-Napoca, Cluj-Napoca, Romania"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Technical University of Cluj-Napoca,Computer Science Department,Cluj-Napoca,Romania","institution_ids":["https://openalex.org/I158333966"]},{"raw_affiliation_string":"Computer Science Department, Technical University of Cluj-Napoca, Cluj-Napoca, Romania","institution_ids":["https://openalex.org/I158333966"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5047954457","display_name":"Sergiu Nedevschi","orcid":"https://orcid.org/0000-0003-2018-4647"},"institutions":[{"id":"https://openalex.org/I158333966","display_name":"Technical University of Cluj-Napoca","ror":"https://ror.org/03r8nwp71","country_code":"RO","type":"education","lineage":["https://openalex.org/I158333966"]}],"countries":["RO"],"is_corresponding":false,"raw_author_name":"Sergiu Nedevschi","raw_affiliation_strings":["Technical University of Cluj-Napoca,Computer Science Department,Cluj-Napoca,Romania","Computer Science Department, Technical University of Cluj-Napoca, Cluj-Napoca, Romania"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Technical University of Cluj-Napoca,Computer Science Department,Cluj-Napoca,Romania","institution_ids":["https://openalex.org/I158333966"]},{"raw_affiliation_string":"Computer Science Department, Technical University of Cluj-Napoca, Cluj-Napoca, Romania","institution_ids":["https://openalex.org/I158333966"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":1,"corresponding_author_ids":[],"corresponding_institution_ids":["https://openalex.org/I158333966"],"apc_list":null,"apc_paid":null,"fwci":null,"has_fulltext":false,"cited_by_count":3,"citation_normalized_percentile":null,"cited_by_percentile_year":null,"biblio":{"volume":null,"issue":null,"first_page":"1","last_page":"8"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T12389","display_name":"Infrared Target Detection Methodologies","score":0.9995999932289124,"subfield":{"id":"https://openalex.org/subfields/2202","display_name":"Aerospace Engineering"},"field":{"id":"https://openalex.org/fields/22","display_name":"Engineering"},"domain":{"id":"https://openalex.org/domains/3","display_name":"Physical Sciences"}},"topics":[{"id":"https://openalex.org/T12389","display_name":"Infrared Target Detection Methodologies","score":0.9995999932289124,"subfield":{"id":"https://openalex.org/subfields/2202","display_name":"Aerospace Engineering"},"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/T10331","display_name":"Video Surveillance and Tracking Methods","score":0.9973000288009644,"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/T12994","display_name":"Infrared Thermography in Medicine","score":0.9871000051498413,"subfield":{"id":"https://openalex.org/subfields/2741","display_name":"Radiology, Nuclear Medicine and Imaging"},"field":{"id":"https://openalex.org/fields/27","display_name":"Medicine"},"domain":{"id":"https://openalex.org/domains/4","display_name":"Health Sciences"}}],"keywords":[{"id":"https://openalex.org/keywords/minimum-bounding-box","display_name":"Minimum bounding box","score":0.8502801656723022},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.803774356842041},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.7804875373840332},{"id":"https://openalex.org/keywords/computer-vision","display_name":"Computer vision","score":0.7548158168792725},{"id":"https://openalex.org/keywords/segmentation","display_name":"Segmentation","score":0.6487789154052734},{"id":"https://openalex.org/keywords/benchmark","display_name":"Benchmark (surveying)","score":0.5941647291183472},{"id":"https://openalex.org/keywords/tracking","display_name":"Tracking (education)","score":0.588253378868103},{"id":"https://openalex.org/keywords/object-detection","display_name":"Object detection","score":0.5381975769996643},{"id":"https://openalex.org/keywords/context","display_name":"Context (archaeology)","score":0.5340437293052673},{"id":"https://openalex.org/keywords/video-tracking","display_name":"Video tracking","score":0.5144436955451965},{"id":"https://openalex.org/keywords/bounding-overwatch","display_name":"Bounding overwatch","score":0.5008690357208252},{"id":"https://openalex.org/keywords/object","display_name":"Object (grammar)","score":0.4885938763618469},{"id":"https://openalex.org/keywords/optical-flow","display_name":"Optical flow","score":0.48170334100723267},{"id":"https://openalex.org/keywords/feature","display_name":"Feature (linguistics)","score":0.43091896176338196},{"id":"https://openalex.org/keywords/exploit","display_name":"Exploit","score":0.4274291694164276},{"id":"https://openalex.org/keywords/image-segmentation","display_name":"Image segmentation","score":0.4148743152618408},{"id":"https://openalex.org/keywords/image","display_name":"Image (mathematics)","score":0.2297869622707367},{"id":"https://openalex.org/keywords/geography","display_name":"Geography","score":0.07578486204147339}],"concepts":[{"id":"https://openalex.org/C147037132","wikidata":"https://www.wikidata.org/wiki/Q6865426","display_name":"Minimum bounding box","level":3,"score":0.8502801656723022},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.803774356842041},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.7804875373840332},{"id":"https://openalex.org/C31972630","wikidata":"https://www.wikidata.org/wiki/Q844240","display_name":"Computer vision","level":1,"score":0.7548158168792725},{"id":"https://openalex.org/C89600930","wikidata":"https://www.wikidata.org/wiki/Q1423946","display_name":"Segmentation","level":2,"score":0.6487789154052734},{"id":"https://openalex.org/C185798385","wikidata":"https://www.wikidata.org/wiki/Q1161707","display_name":"Benchmark (surveying)","level":2,"score":0.5941647291183472},{"id":"https://openalex.org/C2775936607","wikidata":"https://www.wikidata.org/wiki/Q466845","display_name":"Tracking (education)","level":2,"score":0.588253378868103},{"id":"https://openalex.org/C2776151529","wikidata":"https://www.wikidata.org/wiki/Q3045304","display_name":"Object detection","level":3,"score":0.5381975769996643},{"id":"https://openalex.org/C2779343474","wikidata":"https://www.wikidata.org/wiki/Q3109175","display_name":"Context (archaeology)","level":2,"score":0.5340437293052673},{"id":"https://openalex.org/C202474056","wikidata":"https://www.wikidata.org/wiki/Q1931635","display_name":"Video tracking","level":3,"score":0.5144436955451965},{"id":"https://openalex.org/C63584917","wikidata":"https://www.wikidata.org/wiki/Q333286","display_name":"Bounding overwatch","level":2,"score":0.5008690357208252},{"id":"https://openalex.org/C2781238097","wikidata":"https://www.wikidata.org/wiki/Q175026","display_name":"Object (grammar)","level":2,"score":0.4885938763618469},{"id":"https://openalex.org/C155542232","wikidata":"https://www.wikidata.org/wiki/Q736111","display_name":"Optical flow","level":3,"score":0.48170334100723267},{"id":"https://openalex.org/C2776401178","wikidata":"https://www.wikidata.org/wiki/Q12050496","display_name":"Feature (linguistics)","level":2,"score":0.43091896176338196},{"id":"https://openalex.org/C165696696","wikidata":"https://www.wikidata.org/wiki/Q11287","display_name":"Exploit","level":2,"score":0.4274291694164276},{"id":"https://openalex.org/C124504099","wikidata":"https://www.wikidata.org/wiki/Q56933","display_name":"Image segmentation","level":3,"score":0.4148743152618408},{"id":"https://openalex.org/C115961682","wikidata":"https://www.wikidata.org/wiki/Q860623","display_name":"Image (mathematics)","level":2,"score":0.2297869622707367},{"id":"https://openalex.org/C205649164","wikidata":"https://www.wikidata.org/wiki/Q1071","display_name":"Geography","level":0,"score":0.07578486204147339},{"id":"https://openalex.org/C166957645","wikidata":"https://www.wikidata.org/wiki/Q23498","display_name":"Archaeology","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/C38652104","wikidata":"https://www.wikidata.org/wiki/Q3510521","display_name":"Computer security","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/C19417346","wikidata":"https://www.wikidata.org/wiki/Q7922","display_name":"Pedagogy","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/C13280743","wikidata":"https://www.wikidata.org/wiki/Q131089","display_name":"Geodesy","level":1,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/iv55152.2023.10186655","is_oa":false,"landing_page_url":"https://doi.org/10.1109/iv55152.2023.10186655","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2023 IEEE Intelligent Vehicles Symposium (IV)","raw_type":"proceedings-article"}],"best_oa_location":null,"sustainable_development_goals":[],"awards":[],"funders":[{"id":"https://openalex.org/F4320321408","display_name":"Ministry of Education","ror":"https://ror.org/01p262204"}],"has_content":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":37,"referenced_works":["https://openalex.org/W576301840","https://openalex.org/W1557999872","https://openalex.org/W1755205674","https://openalex.org/W1857884451","https://openalex.org/W2134034495","https://openalex.org/W2222512263","https://openalex.org/W2252355370","https://openalex.org/W2603203130","https://openalex.org/W2762439315","https://openalex.org/W2765594081","https://openalex.org/W2783258213","https://openalex.org/W2791774614","https://openalex.org/W2921526792","https://openalex.org/W2953920664","https://openalex.org/W2963030525","https://openalex.org/W2963150697","https://openalex.org/W2964015640","https://openalex.org/W2964069521","https://openalex.org/W2964242925","https://openalex.org/W2965620582","https://openalex.org/W2977487707","https://openalex.org/W2993182889","https://openalex.org/W3041050795","https://openalex.org/W3041551881","https://openalex.org/W3046421354","https://openalex.org/W3049650526","https://openalex.org/W3100953775","https://openalex.org/W3104218139","https://openalex.org/W3105117126","https://openalex.org/W3162318169","https://openalex.org/W3216723752","https://openalex.org/W4213125922","https://openalex.org/W4285129282","https://openalex.org/W4293732316","https://openalex.org/W6760613829","https://openalex.org/W6765850568","https://openalex.org/W6780605740"],"related_works":["https://openalex.org/W4237171675","https://openalex.org/W3036286480","https://openalex.org/W4287027631","https://openalex.org/W3192357901","https://openalex.org/W2387360586","https://openalex.org/W2952736415","https://openalex.org/W3209723314","https://openalex.org/W3205398323","https://openalex.org/W2883297582","https://openalex.org/W4390524233"],"abstract_inverted_index":{"In":[0],"this":[1,93],"paper":[2],"we":[3,30],"present":[4,31],"a":[5,32,100],"novel":[6,33],"multi-object":[7],"tracking":[8,75,171],"and":[9,17,25,48,50,65,82,116,142,163],"segmentation":[10],"approach":[11,105],"that":[12,106],"works":[13],"on":[14,139,167],"thermal":[15,170],"images":[16],"is":[18,38,76],"able":[19],"to":[20,55,146],"track":[21],"objects":[22,45,153],"at":[23],"bounding-box":[24],"instance":[26,63,124],"mask":[27],"levels.":[28],"Furthermore,":[29],"object":[34,97],"validation":[35],"module,":[36],"which":[37,110],"necessary":[39],"because":[40],"only":[41],"specific":[42],"classes":[43],"of":[44,69,152],"are":[46],"tracked":[47],"classifiers":[49],"detectors":[51],"can":[52],"be":[53],"subjected":[54],"errors":[56],"such":[57],"as":[58,86],"misclassifications,":[59],"false":[60],"detections,":[61],"erroneous":[62],"masks":[64],"missed":[66],"detections.":[67],"One":[68],"the":[70,77,87,95,119,123,149,155],"key":[71],"difficulties":[72],"in":[73,118,154,161],"multi-target":[74],"unknown":[78],"correspondences":[79],"between":[80],"measurements":[81],"targets":[83],"also":[84],"known":[85],"data":[88,103],"association":[89,104],"problem.":[90],"To":[91],"address":[92],"issue":[94],"proposed":[96,158],"tracker":[98],"uses":[99],"feature":[101],"engineering":[102],"exploits":[107],"multiple":[108,143],"features":[109],"include":[111],"structure,":[112],"appearance,":[113],"size,":[114],"context,":[115],"motion":[117,136,144],"region":[120],"given":[121],"by":[122],"mask.":[125],"Moreover,":[126],"an":[127,168],"original":[128],"strategy":[129],"has":[130,164],"been":[131,165],"designed":[132],"for":[133],"dealing":[134],"with":[135],"uncertainty,":[137],"based":[138],"optical":[140],"flow":[141],"models":[145],"better":[147],"predict":[148],"future":[150],"position":[151],"scene.":[156],"The":[157],"method":[159],"runs":[160],"real-time":[162],"evaluated":[166],"international":[169],"benchmark":[172],"showing":[173],"competitive":[174],"results.":[175]},"counts_by_year":[{"year":2026,"cited_by_count":1},{"year":2025,"cited_by_count":2}],"updated_date":"2026-07-14T23:27:15.235271","created_date":"2025-10-10T00:00:00"}
