{"id":"https://openalex.org/W2118290049","doi":"https://doi.org/10.1109/euvip.2011.6045532","title":"Collaborative cameras for multi-target tracking using color based particle filter and object contour","display_name":"Collaborative cameras for multi-target tracking using color based particle filter and object contour","publication_year":2011,"publication_date":"2011-07-01","ids":{"openalex":"https://openalex.org/W2118290049","doi":"https://doi.org/10.1109/euvip.2011.6045532","mag":"2118290049"},"language":"en","primary_location":{"id":"doi:10.1109/euvip.2011.6045532","is_oa":false,"landing_page_url":"https://doi.org/10.1109/euvip.2011.6045532","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"3rd European Workshop on Visual Information 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/A5102741003","display_name":"Sajib Saha","orcid":"https://orcid.org/0000-0002-5839-8985"},"institutions":[],"countries":[],"is_corresponding":true,"raw_author_name":"Sajib Kumar Saha","raw_affiliation_strings":["Gj\u00f8vik University College, Norway, Gjovik, Norway","Gj\u2298vik University College, Norway, Gj\u2298vik, Norway"],"affiliations":[{"raw_affiliation_string":"Gj\u00f8vik University College, Norway, Gjovik, Norway","institution_ids":[]},{"raw_affiliation_string":"Gj\u2298vik University College, Norway, Gj\u2298vik, Norway","institution_ids":[]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5009292667","display_name":"Victoria Rudakova","orcid":null},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Victoria Rudakova","raw_affiliation_strings":["Gj\u00f8vik University College, Norway, Gjovik, Norway","Gj\u2298vik University College, Norway, Gj\u2298vik, Norway"],"affiliations":[{"raw_affiliation_string":"Gj\u00f8vik University College, Norway, Gjovik, Norway","institution_ids":[]},{"raw_affiliation_string":"Gj\u2298vik University College, Norway, Gj\u2298vik, Norway","institution_ids":[]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5076654527","display_name":"Faouzi Alaya Cheikh","orcid":"https://orcid.org/0000-0002-4823-5250"},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Faouzi Alaya Cheikh","raw_affiliation_strings":["Gj\u00f8vik University College, Norway, Gjovik, Norway","Gj\u2298vik University College, Norway, Gj\u2298vik, Norway"],"affiliations":[{"raw_affiliation_string":"Gj\u00f8vik University College, Norway, Gjovik, Norway","institution_ids":[]},{"raw_affiliation_string":"Gj\u2298vik University College, Norway, Gj\u2298vik, Norway","institution_ids":[]}]}],"institutions":[],"countries_distinct_count":0,"institutions_distinct_count":3,"corresponding_author_ids":["https://openalex.org/A5102741003"],"corresponding_institution_ids":[],"apc_list":null,"apc_paid":null,"fwci":0.0,"has_fulltext":false,"cited_by_count":0,"citation_normalized_percentile":{"value":0.16273779,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":null,"biblio":{"volume":"4","issue":null,"first_page":"138","last_page":"142"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10331","display_name":"Video Surveillance and Tracking Methods","score":0.9997000098228455,"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":0.9997000098228455,"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/T10711","display_name":"Target Tracking and Data Fusion in Sensor Networks","score":0.9922999739646912,"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/T12389","display_name":"Infrared Target Detection Methodologies","score":0.984499990940094,"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"}}],"keywords":[{"id":"https://openalex.org/keywords/computer-vision","display_name":"Computer vision","score":0.8269307613372803},{"id":"https://openalex.org/keywords/particle-filter","display_name":"Particle filter","score":0.8181184530258179},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.762545108795166},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.7511379718780518},{"id":"https://openalex.org/keywords/video-tracking","display_name":"Video tracking","score":0.6817375421524048},{"id":"https://openalex.org/keywords/tracking","display_name":"Tracking (education)","score":0.6593620777130127},{"id":"https://openalex.org/keywords/focus","display_name":"Focus (optics)","score":0.5396295785903931},{"id":"https://openalex.org/keywords/object-detection","display_name":"Object detection","score":0.5234096646308899},{"id":"https://openalex.org/keywords/probabilistic-logic","display_name":"Probabilistic logic","score":0.5067883133888245},{"id":"https://openalex.org/keywords/calibration","display_name":"Calibration","score":0.4899541437625885},{"id":"https://openalex.org/keywords/object","display_name":"Object (grammar)","score":0.46595320105552673},{"id":"https://openalex.org/keywords/tracking-system","display_name":"Tracking system","score":0.41605061292648315},{"id":"https://openalex.org/keywords/filter","display_name":"Filter (signal processing)","score":0.3442307114601135},{"id":"https://openalex.org/keywords/pattern-recognition","display_name":"Pattern recognition (psychology)","score":0.18186888098716736},{"id":"https://openalex.org/keywords/mathematics","display_name":"Mathematics","score":0.09445908665657043}],"concepts":[{"id":"https://openalex.org/C31972630","wikidata":"https://www.wikidata.org/wiki/Q844240","display_name":"Computer vision","level":1,"score":0.8269307613372803},{"id":"https://openalex.org/C52421305","wikidata":"https://www.wikidata.org/wiki/Q1151499","display_name":"Particle filter","level":3,"score":0.8181184530258179},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.762545108795166},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.7511379718780518},{"id":"https://openalex.org/C202474056","wikidata":"https://www.wikidata.org/wiki/Q1931635","display_name":"Video tracking","level":3,"score":0.6817375421524048},{"id":"https://openalex.org/C2775936607","wikidata":"https://www.wikidata.org/wiki/Q466845","display_name":"Tracking (education)","level":2,"score":0.6593620777130127},{"id":"https://openalex.org/C192209626","wikidata":"https://www.wikidata.org/wiki/Q190909","display_name":"Focus (optics)","level":2,"score":0.5396295785903931},{"id":"https://openalex.org/C2776151529","wikidata":"https://www.wikidata.org/wiki/Q3045304","display_name":"Object detection","level":3,"score":0.5234096646308899},{"id":"https://openalex.org/C49937458","wikidata":"https://www.wikidata.org/wiki/Q2599292","display_name":"Probabilistic logic","level":2,"score":0.5067883133888245},{"id":"https://openalex.org/C165838908","wikidata":"https://www.wikidata.org/wiki/Q736777","display_name":"Calibration","level":2,"score":0.4899541437625885},{"id":"https://openalex.org/C2781238097","wikidata":"https://www.wikidata.org/wiki/Q175026","display_name":"Object (grammar)","level":2,"score":0.46595320105552673},{"id":"https://openalex.org/C154586513","wikidata":"https://www.wikidata.org/wiki/Q4420972","display_name":"Tracking system","level":3,"score":0.41605061292648315},{"id":"https://openalex.org/C106131492","wikidata":"https://www.wikidata.org/wiki/Q3072260","display_name":"Filter (signal processing)","level":2,"score":0.3442307114601135},{"id":"https://openalex.org/C153180895","wikidata":"https://www.wikidata.org/wiki/Q7148389","display_name":"Pattern recognition (psychology)","level":2,"score":0.18186888098716736},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.09445908665657043},{"id":"https://openalex.org/C19417346","wikidata":"https://www.wikidata.org/wiki/Q7922","display_name":"Pedagogy","level":1,"score":0.0},{"id":"https://openalex.org/C105795698","wikidata":"https://www.wikidata.org/wiki/Q12483","display_name":"Statistics","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/C121332964","wikidata":"https://www.wikidata.org/wiki/Q413","display_name":"Physics","level":0,"score":0.0},{"id":"https://openalex.org/C120665830","wikidata":"https://www.wikidata.org/wiki/Q14620","display_name":"Optics","level":1,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/euvip.2011.6045532","is_oa":false,"landing_page_url":"https://doi.org/10.1109/euvip.2011.6045532","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"3rd European Workshop on Visual Information Processing","raw_type":"proceedings-article"}],"best_oa_location":null,"sustainable_development_goals":[],"awards":[],"funders":[],"has_content":{"grobid_xml":false,"pdf":false},"content_urls":null,"referenced_works_count":22,"referenced_works":["https://openalex.org/W1499578337","https://openalex.org/W1565206031","https://openalex.org/W2051345997","https://openalex.org/W2061716749","https://openalex.org/W2077611006","https://openalex.org/W2103469462","https://openalex.org/W2110049245","https://openalex.org/W2122190623","https://openalex.org/W2131393045","https://openalex.org/W2133028531","https://openalex.org/W2133952369","https://openalex.org/W2141251974","https://openalex.org/W2141391397","https://openalex.org/W2145555609","https://openalex.org/W2160337655","https://openalex.org/W2160646681","https://openalex.org/W2537883847","https://openalex.org/W2571050459","https://openalex.org/W6629966464","https://openalex.org/W6676655645","https://openalex.org/W6680164740","https://openalex.org/W6680834488"],"related_works":["https://openalex.org/W2318603563","https://openalex.org/W2100525497","https://openalex.org/W2965594636","https://openalex.org/W887692824","https://openalex.org/W2354419434","https://openalex.org/W2021121433","https://openalex.org/W4285271403","https://openalex.org/W3178626677","https://openalex.org/W2110357291","https://openalex.org/W3015801620"],"abstract_inverted_index":{"Object":[0],"tracking":[1,31,37],"is":[2,41],"a":[3,42,82],"very":[4],"active":[5],"research":[6],"field":[7],"nowadays":[8],"due":[9],"to":[10,49],"its":[11],"numerous":[12],"potential":[13],"applications":[14],"in":[15,79],"video":[16,70],"surveillance,":[17],"e.g.":[18],"human":[19],"activity":[20],"analysis,":[21],"traffic":[22],"monitoring.":[23],"Recently":[24],"the":[25,54,99,102],"focus":[26],"has":[27],"been":[28],"on":[29],"multi-target":[30],"(MTT).":[32],"While":[33],"considering":[34],"multiple":[35,92],"target":[36],"applications,":[38],"`multi-target":[39],"occlusion'":[40],"common":[43],"and":[44],"challenging":[45],"problem":[46,59,76],"that":[47,64,85],"needs":[48],"be":[50],"addressed.":[51],"Most":[52],"of":[53,101],"proposed":[55,103],"solutions":[56],"for":[57,68,91],"this":[58,75,80],"require":[60,88],"camera":[61,89,93],"calibration":[62,90],"parameters":[63],"make":[65],"them":[66],"impractical":[67],"outdoor":[69],"surveillance":[71],"applications.":[72],"To":[73],"address":[74],"we":[77],"propose":[78],"paper":[81],"probabilistic":[83],"approach":[84],"does":[86],"not":[87],"collaboration.":[94],"Initial":[95],"simulation":[96],"results":[97],"prove":[98],"validity":[100],"approach.":[104]},"counts_by_year":[],"updated_date":"2025-11-06T03:46:38.306776","created_date":"2025-10-10T00:00:00"}
