{"id":"https://openalex.org/W2125962160","doi":"https://doi.org/10.1109/icip.2009.5413707","title":"Beyond ICONDENSATION: AICONDENSATION and AFCONDENSATION for visual tracking with low-level and high-level cues","display_name":"Beyond ICONDENSATION: AICONDENSATION and AFCONDENSATION for visual tracking with low-level and high-level cues","publication_year":2009,"publication_date":"2009-11-01","ids":{"openalex":"https://openalex.org/W2125962160","doi":"https://doi.org/10.1109/icip.2009.5413707","mag":"2125962160"},"language":"en","primary_location":{"id":"doi:10.1109/icip.2009.5413707","is_oa":false,"landing_page_url":"https://doi.org/10.1109/icip.2009.5413707","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2009 16th 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/A5059795836","display_name":"Yonggang Jin","orcid":null},"institutions":[{"id":"https://openalex.org/I39854257","display_name":"Mitsubishi Electric (Germany)","ror":"https://ror.org/04ccqwj03","country_code":"DE","type":"company","lineage":["https://openalex.org/I1306287861","https://openalex.org/I39854257","https://openalex.org/I4210133125"]}],"countries":["DE"],"is_corresponding":true,"raw_author_name":"Yonggang Jin","raw_affiliation_strings":["Visual and Sensing Division, Mitsubishi Electric Research and Development Centre Europe B. V., UK","Mitsubishi Electric R & D Centre Europe B.V., Visual and Sensing Division, UK#TAB#"],"affiliations":[{"raw_affiliation_string":"Visual and Sensing Division, Mitsubishi Electric Research and Development Centre Europe B. V., UK","institution_ids":[]},{"raw_affiliation_string":"Mitsubishi Electric R & D Centre Europe B.V., Visual and Sensing Division, UK#TAB#","institution_ids":["https://openalex.org/I39854257"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":1,"corresponding_author_ids":["https://openalex.org/A5059795836"],"corresponding_institution_ids":["https://openalex.org/I39854257"],"apc_list":null,"apc_paid":null,"fwci":0.527,"has_fulltext":false,"cited_by_count":1,"citation_normalized_percentile":{"value":0.72412852,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":null,"biblio":{"volume":null,"issue":null,"first_page":"4089","last_page":"4092"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10689","display_name":"Remote-Sensing Image Classification","score":0.9991999864578247,"subfield":{"id":"https://openalex.org/subfields/2214","display_name":"Media Technology"},"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/T10689","display_name":"Remote-Sensing Image Classification","score":0.9991999864578247,"subfield":{"id":"https://openalex.org/subfields/2214","display_name":"Media Technology"},"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/T12389","display_name":"Infrared Target Detection Methodologies","score":0.9979000091552734,"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":0.996999979019165,"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/fuse","display_name":"Fuse (electrical)","score":0.7767795324325562},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.7333817481994629},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.6978750228881836},{"id":"https://openalex.org/keywords/computer-vision","display_name":"Computer vision","score":0.6688420176506042},{"id":"https://openalex.org/keywords/object-detection","display_name":"Object detection","score":0.6281046867370605},{"id":"https://openalex.org/keywords/tracking","display_name":"Tracking (education)","score":0.5917771458625793},{"id":"https://openalex.org/keywords/probabilistic-logic","display_name":"Probabilistic logic","score":0.574604332447052},{"id":"https://openalex.org/keywords/object","display_name":"Object (grammar)","score":0.5504497289657593},{"id":"https://openalex.org/keywords/particle-filter","display_name":"Particle filter","score":0.5050950646400452},{"id":"https://openalex.org/keywords/sensory-cue","display_name":"Sensory cue","score":0.4818457365036011},{"id":"https://openalex.org/keywords/feature","display_name":"Feature (linguistics)","score":0.47478052973747253},{"id":"https://openalex.org/keywords/video-tracking","display_name":"Video tracking","score":0.46556922793388367},{"id":"https://openalex.org/keywords/pattern-recognition","display_name":"Pattern recognition (psychology)","score":0.43852147459983826},{"id":"https://openalex.org/keywords/kalman-filter","display_name":"Kalman filter","score":0.1047247052192688},{"id":"https://openalex.org/keywords/engineering","display_name":"Engineering","score":0.09681528806686401}],"concepts":[{"id":"https://openalex.org/C141353440","wikidata":"https://www.wikidata.org/wiki/Q182221","display_name":"Fuse (electrical)","level":2,"score":0.7767795324325562},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.7333817481994629},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.6978750228881836},{"id":"https://openalex.org/C31972630","wikidata":"https://www.wikidata.org/wiki/Q844240","display_name":"Computer vision","level":1,"score":0.6688420176506042},{"id":"https://openalex.org/C2776151529","wikidata":"https://www.wikidata.org/wiki/Q3045304","display_name":"Object detection","level":3,"score":0.6281046867370605},{"id":"https://openalex.org/C2775936607","wikidata":"https://www.wikidata.org/wiki/Q466845","display_name":"Tracking (education)","level":2,"score":0.5917771458625793},{"id":"https://openalex.org/C49937458","wikidata":"https://www.wikidata.org/wiki/Q2599292","display_name":"Probabilistic logic","level":2,"score":0.574604332447052},{"id":"https://openalex.org/C2781238097","wikidata":"https://www.wikidata.org/wiki/Q175026","display_name":"Object (grammar)","level":2,"score":0.5504497289657593},{"id":"https://openalex.org/C52421305","wikidata":"https://www.wikidata.org/wiki/Q1151499","display_name":"Particle filter","level":3,"score":0.5050950646400452},{"id":"https://openalex.org/C111370547","wikidata":"https://www.wikidata.org/wiki/Q7451120","display_name":"Sensory cue","level":2,"score":0.4818457365036011},{"id":"https://openalex.org/C2776401178","wikidata":"https://www.wikidata.org/wiki/Q12050496","display_name":"Feature (linguistics)","level":2,"score":0.47478052973747253},{"id":"https://openalex.org/C202474056","wikidata":"https://www.wikidata.org/wiki/Q1931635","display_name":"Video tracking","level":3,"score":0.46556922793388367},{"id":"https://openalex.org/C153180895","wikidata":"https://www.wikidata.org/wiki/Q7148389","display_name":"Pattern recognition (psychology)","level":2,"score":0.43852147459983826},{"id":"https://openalex.org/C157286648","wikidata":"https://www.wikidata.org/wiki/Q846780","display_name":"Kalman filter","level":2,"score":0.1047247052192688},{"id":"https://openalex.org/C127413603","wikidata":"https://www.wikidata.org/wiki/Q11023","display_name":"Engineering","level":0,"score":0.09681528806686401},{"id":"https://openalex.org/C19417346","wikidata":"https://www.wikidata.org/wiki/Q7922","display_name":"Pedagogy","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/C15744967","wikidata":"https://www.wikidata.org/wiki/Q9418","display_name":"Psychology","level":0,"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/C119599485","wikidata":"https://www.wikidata.org/wiki/Q43035","display_name":"Electrical engineering","level":1,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/icip.2009.5413707","is_oa":false,"landing_page_url":"https://doi.org/10.1109/icip.2009.5413707","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2009 16th IEEE International Conference on Image Processing (ICIP)","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":14,"referenced_works":["https://openalex.org/W1910898529","https://openalex.org/W2096590953","https://openalex.org/W2129078811","https://openalex.org/W2131598171","https://openalex.org/W2147953023","https://openalex.org/W2149954525","https://openalex.org/W2154496665","https://openalex.org/W2791941570","https://openalex.org/W3107934168","https://openalex.org/W4244486013","https://openalex.org/W6640096618","https://openalex.org/W6682042711","https://openalex.org/W6682375232","https://openalex.org/W6748963707"],"related_works":["https://openalex.org/W3000097931","https://openalex.org/W2354322770","https://openalex.org/W4237547500","https://openalex.org/W1570848052","https://openalex.org/W2373192430","https://openalex.org/W4239268388","https://openalex.org/W1537496349","https://openalex.org/W4243305035","https://openalex.org/W2100525497","https://openalex.org/W2965594636"],"abstract_inverted_index":{"The":[0],"paper":[1],"presents":[2],"a":[3,45],"probabilistic":[4],"tracking":[5],"framework":[6],"to":[7,28,34,75],"fuse":[8,77],"high-level":[9,78],"object":[10,31,79],"detection":[11,32,68,80],"cues":[12,17,33,81],"with":[13,82,107,120],"low-level":[14,83],"image":[15],"feature":[16],"using":[18,49],"particle":[19],"filters.":[20],"First,":[21],"an":[22],"adaptive":[23,67],"ICONDENSATION":[24,99],"(AICONDENSATION)":[25],"is":[26,42,72,93,101],"introduced":[27],"better":[29],"exploit":[30],"guide":[35],"importance":[36],"sampling,":[37],"where":[38,85],"the":[39],"proposal":[40],"distribution":[41],"derived":[43],"in":[44,64,98,118],"more":[46],"principled":[47],"approach":[48],"data":[50],"association":[51],"methods":[52],"so":[53],"that":[54,95],"mixture":[55,86],"weights":[56,87],"can":[57],"be":[58],"adapted":[59,90],"dynamically":[60],"rather":[61],"than":[62],"fixed":[63],"ICONDENSATION.":[65,121],"An":[66],"fusion":[69],"CONDENSATION":[70],"(AFCONDENSATION)":[71],"further":[73],"presented":[74],"directly":[76],"cues,":[84],"are":[88],"also":[89],"and":[91,110],"it":[92],"shown":[94],"weight":[96],"correction":[97],"actually":[100],"not":[102],"necessary.":[103],"Results":[104],"on":[105],"sequences":[106],"both":[108],"simulated":[109],"real":[111],"detections":[112],"show":[113],"improved":[114],"performance":[115],"of":[116],"AI/AFCONDENSATION":[117],"comparison":[119]},"counts_by_year":[],"updated_date":"2025-11-06T03:46:38.306776","created_date":"2025-10-10T00:00:00"}
