{"id":"https://openalex.org/W2971182112","doi":"https://doi.org/10.1109/icip.2019.8803507","title":"A Collaborative Algorithmic Framework to Track Objects And Events","display_name":"A Collaborative Algorithmic Framework to Track Objects And Events","publication_year":2019,"publication_date":"2019-08-26","ids":{"openalex":"https://openalex.org/W2971182112","doi":"https://doi.org/10.1109/icip.2019.8803507","mag":"2971182112"},"language":"en","primary_location":{"id":"doi:10.1109/icip.2019.8803507","is_oa":false,"landing_page_url":"https://doi.org/10.1109/icip.2019.8803507","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2019 IEEE International Conference on Image Processing (ICIP)","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/A5009123726","display_name":"Somrita Chattopadhyay","orcid":"https://orcid.org/0000-0001-5430-2395"},"institutions":[],"countries":[],"is_corresponding":true,"raw_author_name":"Somrita Chattopadhyay","raw_affiliation_strings":["School of Electrical and Computer Engineering, Purdue University"],"affiliations":[{"raw_affiliation_string":"School of Electrical and Computer Engineering, Purdue University","institution_ids":[]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5004305672","display_name":"Constantine J. Roros","orcid":null},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Constantine J. Roros","raw_affiliation_strings":["School of Electrical and Computer Engineering, Purdue University"],"affiliations":[{"raw_affiliation_string":"School of Electrical and Computer Engineering, Purdue University","institution_ids":[]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5110382122","display_name":"Avinash C. Kak","orcid":null},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Avinash C. Kak","raw_affiliation_strings":["School of Electrical and Computer Engineering, Purdue University"],"affiliations":[{"raw_affiliation_string":"School of Electrical and Computer Engineering, Purdue University","institution_ids":[]}]}],"institutions":[],"countries_distinct_count":0,"institutions_distinct_count":3,"corresponding_author_ids":["https://openalex.org/A5009123726"],"corresponding_institution_ids":[],"apc_list":null,"apc_paid":null,"fwci":0.0,"has_fulltext":false,"cited_by_count":0,"citation_normalized_percentile":{"value":0.05366925,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":null,"biblio":{"volume":null,"issue":null,"first_page":"4000","last_page":"4004"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10191","display_name":"Robotics and Sensor-Based Localization","score":0.9994000196456909,"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/T10191","display_name":"Robotics and Sensor-Based Localization","score":0.9994000196456909,"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/T11164","display_name":"Remote Sensing and LiDAR Applications","score":0.9980000257492065,"subfield":{"id":"https://openalex.org/subfields/2305","display_name":"Environmental Engineering"},"field":{"id":"https://openalex.org/fields/23","display_name":"Environmental Science"},"domain":{"id":"https://openalex.org/domains/3","display_name":"Physical Sciences"}},{"id":"https://openalex.org/T11211","display_name":"3D Surveying and Cultural Heritage","score":0.9977999925613403,"subfield":{"id":"https://openalex.org/subfields/1907","display_name":"Geology"},"field":{"id":"https://openalex.org/fields/19","display_name":"Earth and Planetary Sciences"},"domain":{"id":"https://openalex.org/domains/3","display_name":"Physical Sciences"}}],"keywords":[{"id":"https://openalex.org/keywords/bittorrent-tracker","display_name":"BitTorrent tracker","score":0.8580875396728516},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.8312524557113647},{"id":"https://openalex.org/keywords/computer-vision","display_name":"Computer vision","score":0.7064561247825623},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.6635922789573669},{"id":"https://openalex.org/keywords/tracking","display_name":"Tracking (education)","score":0.6275416016578674},{"id":"https://openalex.org/keywords/object","display_name":"Object (grammar)","score":0.6234388947486877},{"id":"https://openalex.org/keywords/video-tracking","display_name":"Video tracking","score":0.6014804244041443},{"id":"https://openalex.org/keywords/ground-truth","display_name":"Ground truth","score":0.5969132781028748},{"id":"https://openalex.org/keywords/track","display_name":"Track (disk drive)","score":0.5531588196754456},{"id":"https://openalex.org/keywords/pose","display_name":"Pose","score":0.5009400844573975},{"id":"https://openalex.org/keywords/simple","display_name":"Simple (philosophy)","score":0.48674440383911133},{"id":"https://openalex.org/keywords/object-detection","display_name":"Object detection","score":0.4509834051132202},{"id":"https://openalex.org/keywords/bin","display_name":"Bin","score":0.4482738971710205},{"id":"https://openalex.org/keywords/tracking-system","display_name":"Tracking system","score":0.4208669066429138},{"id":"https://openalex.org/keywords/eye-tracking","display_name":"Eye tracking","score":0.30131345987319946},{"id":"https://openalex.org/keywords/algorithm","display_name":"Algorithm","score":0.1399105191230774},{"id":"https://openalex.org/keywords/pattern-recognition","display_name":"Pattern recognition (psychology)","score":0.11487069725990295},{"id":"https://openalex.org/keywords/kalman-filter","display_name":"Kalman filter","score":0.0824226438999176}],"concepts":[{"id":"https://openalex.org/C57501372","wikidata":"https://www.wikidata.org/wiki/Q2021268","display_name":"BitTorrent tracker","level":3,"score":0.8580875396728516},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.8312524557113647},{"id":"https://openalex.org/C31972630","wikidata":"https://www.wikidata.org/wiki/Q844240","display_name":"Computer vision","level":1,"score":0.7064561247825623},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.6635922789573669},{"id":"https://openalex.org/C2775936607","wikidata":"https://www.wikidata.org/wiki/Q466845","display_name":"Tracking (education)","level":2,"score":0.6275416016578674},{"id":"https://openalex.org/C2781238097","wikidata":"https://www.wikidata.org/wiki/Q175026","display_name":"Object (grammar)","level":2,"score":0.6234388947486877},{"id":"https://openalex.org/C202474056","wikidata":"https://www.wikidata.org/wiki/Q1931635","display_name":"Video tracking","level":3,"score":0.6014804244041443},{"id":"https://openalex.org/C146849305","wikidata":"https://www.wikidata.org/wiki/Q370766","display_name":"Ground truth","level":2,"score":0.5969132781028748},{"id":"https://openalex.org/C89992363","wikidata":"https://www.wikidata.org/wiki/Q5961558","display_name":"Track (disk drive)","level":2,"score":0.5531588196754456},{"id":"https://openalex.org/C52102323","wikidata":"https://www.wikidata.org/wiki/Q1671968","display_name":"Pose","level":2,"score":0.5009400844573975},{"id":"https://openalex.org/C2780586882","wikidata":"https://www.wikidata.org/wiki/Q7520643","display_name":"Simple (philosophy)","level":2,"score":0.48674440383911133},{"id":"https://openalex.org/C2776151529","wikidata":"https://www.wikidata.org/wiki/Q3045304","display_name":"Object detection","level":3,"score":0.4509834051132202},{"id":"https://openalex.org/C156273044","wikidata":"https://www.wikidata.org/wiki/Q4913766","display_name":"Bin","level":2,"score":0.4482738971710205},{"id":"https://openalex.org/C154586513","wikidata":"https://www.wikidata.org/wiki/Q4420972","display_name":"Tracking system","level":3,"score":0.4208669066429138},{"id":"https://openalex.org/C56461940","wikidata":"https://www.wikidata.org/wiki/Q970687","display_name":"Eye tracking","level":2,"score":0.30131345987319946},{"id":"https://openalex.org/C11413529","wikidata":"https://www.wikidata.org/wiki/Q8366","display_name":"Algorithm","level":1,"score":0.1399105191230774},{"id":"https://openalex.org/C153180895","wikidata":"https://www.wikidata.org/wiki/Q7148389","display_name":"Pattern recognition (psychology)","level":2,"score":0.11487069725990295},{"id":"https://openalex.org/C157286648","wikidata":"https://www.wikidata.org/wiki/Q846780","display_name":"Kalman filter","level":2,"score":0.0824226438999176},{"id":"https://openalex.org/C138885662","wikidata":"https://www.wikidata.org/wiki/Q5891","display_name":"Philosophy","level":0,"score":0.0},{"id":"https://openalex.org/C111919701","wikidata":"https://www.wikidata.org/wiki/Q9135","display_name":"Operating system","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/C111472728","wikidata":"https://www.wikidata.org/wiki/Q9471","display_name":"Epistemology","level":1,"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":1,"locations":[{"id":"doi:10.1109/icip.2019.8803507","is_oa":false,"landing_page_url":"https://doi.org/10.1109/icip.2019.8803507","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2019 IEEE International Conference on Image Processing (ICIP)","raw_type":"proceedings-article"}],"best_oa_location":null,"sustainable_development_goals":[],"awards":[],"funders":[],"has_content":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":11,"referenced_works":["https://openalex.org/W6908809","https://openalex.org/W1995457297","https://openalex.org/W2026151559","https://openalex.org/W2107307590","https://openalex.org/W2132631733","https://openalex.org/W2145023731","https://openalex.org/W2155696107","https://openalex.org/W2894907799","https://openalex.org/W3106250896","https://openalex.org/W6600284362","https://openalex.org/W6785652829"],"related_works":["https://openalex.org/W2107701374","https://openalex.org/W1616588898","https://openalex.org/W4249504934","https://openalex.org/W4294967731","https://openalex.org/W2806679586","https://openalex.org/W4385273546","https://openalex.org/W3018298165","https://openalex.org/W2161065759","https://openalex.org/W2397485170","https://openalex.org/W2803420671"],"abstract_inverted_index":{"One":[0],"faces":[1],"several":[2],"challenges":[3,39],"when":[4,138,151],"tracking":[5,46,140],"objects":[6],"and":[7,48,134,146],"events":[8,17],"simultaneously":[9],"in":[10,65,84],"multi-camera":[11],"environments":[12],"-":[13],"especially":[14],"if":[15],"the":[16,20,26,29,38,43,69,73,76,80,85,96,102,111,152,157,171,175],"associated":[18,71],"with":[19,63,72,177],"object":[21,30],"require":[22],"precise":[23],"knowledge":[24],"of":[25,28,34,45,57,75,90,95],"pose":[27,56,93],"at":[31,51],"each":[32,58],"instant":[33],"time.":[35],"To":[36],"illustrate":[37],"involved,":[40],"we":[41],"consider":[42],"problem":[44],"bins":[47,86,97,153],"their":[49],"contents":[50],"airport":[52],"security":[53],"checkpoints.":[54],"The":[55,130,161],"bin":[59,107],"must":[60],"be":[61,142],"tracked":[62],"precision":[64],"order":[66],"to":[67,126,166,169],"minimize":[68],"errors":[70],"detection":[74],"various":[77],"items":[78],"that":[79,104],"passengers":[81],"may":[82],"place":[83],"and/or":[87],"take":[88],"out":[89,144],"them.":[91],"Unfortunately,":[92],"estimation":[94],"is":[98],"made":[99],"difficult":[100],"by":[101],"fact":[103],"as":[105,165],"a":[106,122,178],"moves":[108],"away":[109,155],"from":[110,156],"camera's":[112],"optic":[113,159],"axis,":[114],"its":[115],"appearance":[116],"changes":[117],"nonlinearly.":[118],"This":[119],"paper":[120],"presents":[121],"collaborative":[123],"algorithmic":[124],"framework":[125,131,176],"address":[127],"this":[128],"complexity:":[129],"includes":[132],"simple":[133],"fast":[135],"2D":[136],"trackers":[137,150],"such":[139],"can":[141],"carried":[143],"reliably,":[145],"more":[147],"sophisticated":[148],"2.5D":[149],"move":[154],"cameras'":[158],"axes.":[160],"system":[162],"decides":[163],"automatically":[164],"which":[167],"tracker":[168],"trust":[170],"most.":[172],"We":[173],"validate":[174],"ground-truth":[179],"dataset.":[180]},"counts_by_year":[],"updated_date":"2025-11-06T03:46:38.306776","created_date":"2025-10-10T00:00:00"}