{"id":"https://openalex.org/W2749689875","doi":"https://doi.org/10.1109/aipr.2016.8010604","title":"CS-LoFT: Color and scale adaptive tracking using max-pooling with bhattacharyya distance","display_name":"CS-LoFT: Color and scale adaptive tracking using max-pooling with bhattacharyya distance","publication_year":2016,"publication_date":"2016-10-01","ids":{"openalex":"https://openalex.org/W2749689875","doi":"https://doi.org/10.1109/aipr.2016.8010604","mag":"2749689875"},"language":"en","primary_location":{"id":"doi:10.1109/aipr.2016.8010604","is_oa":false,"landing_page_url":"https://doi.org/10.1109/aipr.2016.8010604","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2016 IEEE Applied Imagery Pattern Recognition Workshop (AIPR)","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/A5040715600","display_name":"Noor Al-Shakarji","orcid":null},"institutions":[{"id":"https://openalex.org/I76835614","display_name":"University of Missouri","ror":"https://ror.org/02ymw8z06","country_code":"US","type":"education","lineage":["https://openalex.org/I76835614"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Noor M. AL-Shakarji","raw_affiliation_strings":["Department of Computer Science, University of Missouri-Columbia, MO, USA","Department of Computer Science, University of Missouri, Columbia MO 65211, USA"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Department of Computer Science, University of Missouri-Columbia, MO, USA","institution_ids":["https://openalex.org/I76835614"]},{"raw_affiliation_string":"Department of Computer Science, University of Missouri, Columbia MO 65211, USA","institution_ids":["https://openalex.org/I76835614"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5024182063","display_name":"Filiz Bunyak","orcid":"https://orcid.org/0000-0002-0421-6920"},"institutions":[{"id":"https://openalex.org/I76835614","display_name":"University of Missouri","ror":"https://ror.org/02ymw8z06","country_code":"US","type":"education","lineage":["https://openalex.org/I76835614"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Filiz Bunyak","raw_affiliation_strings":["Department of Computer Science, University of Missouri-Columbia, MO, USA","Department of Computer Science, University of Missouri, Columbia MO 65211, USA"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Department of Computer Science, University of Missouri-Columbia, MO, USA","institution_ids":["https://openalex.org/I76835614"]},{"raw_affiliation_string":"Department of Computer Science, University of Missouri, Columbia MO 65211, USA","institution_ids":["https://openalex.org/I76835614"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5009436308","display_name":"Guna Seetharamany","orcid":null},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Guna Seetharamany","raw_affiliation_strings":["Advanced Computing Concepts, U.S. Naval Research Laboratory, Washington, DC, 20375, USA"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Advanced Computing Concepts, U.S. Naval Research Laboratory, Washington, DC, 20375, USA","institution_ids":[]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5025286899","display_name":"Kannappan Palaniappan","orcid":"https://orcid.org/0000-0003-2663-1380"},"institutions":[{"id":"https://openalex.org/I76835614","display_name":"University of Missouri","ror":"https://ror.org/02ymw8z06","country_code":"US","type":"education","lineage":["https://openalex.org/I76835614"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Kannappan Palaniappan","raw_affiliation_strings":["Department of Computer Science, University of Missouri-Columbia, MO, USA","Department of Computer Science, University of Missouri, Columbia MO 65211, USA"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Department of Computer Science, University of Missouri-Columbia, MO, USA","institution_ids":["https://openalex.org/I76835614"]},{"raw_affiliation_string":"Department of Computer Science, University of Missouri, Columbia MO 65211, USA","institution_ids":["https://openalex.org/I76835614"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":1,"corresponding_author_ids":[],"corresponding_institution_ids":[],"apc_list":null,"apc_paid":null,"fwci":0.5032,"has_fulltext":false,"cited_by_count":7,"citation_normalized_percentile":{"value":0.79068384,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":89,"max":97},"biblio":{"volume":"37","issue":null,"first_page":"1","last_page":"7"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10331","display_name":"Video Surveillance and Tracking Methods","score":1.0,"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":1.0,"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/T11019","display_name":"Image Enhancement Techniques","score":0.9891999959945679,"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/T12389","display_name":"Infrared Target Detection Methodologies","score":0.9847999811172485,"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/artificial-intelligence","display_name":"Artificial intelligence","score":0.8010690212249756},{"id":"https://openalex.org/keywords/computer-vision","display_name":"Computer vision","score":0.7976795434951782},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.7442746162414551},{"id":"https://openalex.org/keywords/robustness","display_name":"Robustness (evolution)","score":0.6978538632392883},{"id":"https://openalex.org/keywords/video-tracking","display_name":"Video tracking","score":0.6530875563621521},{"id":"https://openalex.org/keywords/bhattacharyya-distance","display_name":"Bhattacharyya distance","score":0.6009021401405334},{"id":"https://openalex.org/keywords/eye-tracking","display_name":"Eye tracking","score":0.5333765745162964},{"id":"https://openalex.org/keywords/automatic-summarization","display_name":"Automatic summarization","score":0.47680947184562683},{"id":"https://openalex.org/keywords/visualization","display_name":"Visualization","score":0.45933687686920166},{"id":"https://openalex.org/keywords/object-detection","display_name":"Object detection","score":0.4180854260921478},{"id":"https://openalex.org/keywords/pattern-recognition","display_name":"Pattern recognition (psychology)","score":0.2658514380455017},{"id":"https://openalex.org/keywords/object","display_name":"Object (grammar)","score":0.23036283254623413}],"concepts":[{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.8010690212249756},{"id":"https://openalex.org/C31972630","wikidata":"https://www.wikidata.org/wiki/Q844240","display_name":"Computer vision","level":1,"score":0.7976795434951782},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.7442746162414551},{"id":"https://openalex.org/C63479239","wikidata":"https://www.wikidata.org/wiki/Q7353546","display_name":"Robustness (evolution)","level":3,"score":0.6978538632392883},{"id":"https://openalex.org/C202474056","wikidata":"https://www.wikidata.org/wiki/Q1931635","display_name":"Video tracking","level":3,"score":0.6530875563621521},{"id":"https://openalex.org/C24145651","wikidata":"https://www.wikidata.org/wiki/Q2901249","display_name":"Bhattacharyya distance","level":2,"score":0.6009021401405334},{"id":"https://openalex.org/C56461940","wikidata":"https://www.wikidata.org/wiki/Q970687","display_name":"Eye tracking","level":2,"score":0.5333765745162964},{"id":"https://openalex.org/C170858558","wikidata":"https://www.wikidata.org/wiki/Q1394144","display_name":"Automatic summarization","level":2,"score":0.47680947184562683},{"id":"https://openalex.org/C36464697","wikidata":"https://www.wikidata.org/wiki/Q451553","display_name":"Visualization","level":2,"score":0.45933687686920166},{"id":"https://openalex.org/C2776151529","wikidata":"https://www.wikidata.org/wiki/Q3045304","display_name":"Object detection","level":3,"score":0.4180854260921478},{"id":"https://openalex.org/C153180895","wikidata":"https://www.wikidata.org/wiki/Q7148389","display_name":"Pattern recognition (psychology)","level":2,"score":0.2658514380455017},{"id":"https://openalex.org/C2781238097","wikidata":"https://www.wikidata.org/wiki/Q175026","display_name":"Object (grammar)","level":2,"score":0.23036283254623413},{"id":"https://openalex.org/C185592680","wikidata":"https://www.wikidata.org/wiki/Q2329","display_name":"Chemistry","level":0,"score":0.0},{"id":"https://openalex.org/C104317684","wikidata":"https://www.wikidata.org/wiki/Q7187","display_name":"Gene","level":2,"score":0.0},{"id":"https://openalex.org/C55493867","wikidata":"https://www.wikidata.org/wiki/Q7094","display_name":"Biochemistry","level":1,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/aipr.2016.8010604","is_oa":false,"landing_page_url":"https://doi.org/10.1109/aipr.2016.8010604","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2016 IEEE Applied Imagery Pattern Recognition Workshop (AIPR)","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":30,"referenced_works":["https://openalex.org/W161114242","https://openalex.org/W1513768190","https://openalex.org/W1887170341","https://openalex.org/W1964846093","https://openalex.org/W1974689608","https://openalex.org/W1997121481","https://openalex.org/W2013820100","https://openalex.org/W2023640470","https://openalex.org/W2037071856","https://openalex.org/W2044986361","https://openalex.org/W2098941887","https://openalex.org/W2120076290","https://openalex.org/W2125907508","https://openalex.org/W2126302311","https://openalex.org/W2127850685","https://openalex.org/W2130026429","https://openalex.org/W2149077040","https://openalex.org/W2150000644","https://openalex.org/W2158592639","https://openalex.org/W2162349892","https://openalex.org/W2165037244","https://openalex.org/W2186330282","https://openalex.org/W2290088773","https://openalex.org/W2801844694","https://openalex.org/W6606595081","https://openalex.org/W6639390930","https://openalex.org/W6649598916","https://openalex.org/W6678515836","https://openalex.org/W6679027886","https://openalex.org/W6684332838"],"related_works":["https://openalex.org/W1982681402","https://openalex.org/W3149747767","https://openalex.org/W1536747792","https://openalex.org/W2192403599","https://openalex.org/W4385066279","https://openalex.org/W2353086252","https://openalex.org/W2545267826","https://openalex.org/W2117519005","https://openalex.org/W2965594636","https://openalex.org/W2912550626"],"abstract_inverted_index":{"Robust":[0],"and":[1,36,39,45,67,106,131,161,174,177],"accurate":[2],"visual":[3,16],"tracking":[4,19,152],"is":[5,120,138],"needed":[6],"for":[7],"many":[8],"computer":[9],"vision":[10],"applications":[11],"from":[12,87],"video":[13,90,156],"summarization":[14],"to":[15,21,70,80,91,111,141,145],"surveillance.":[17],"Visual":[18],"remains":[20],"be":[22],"a":[23,52],"challenging":[24],"task":[25],"because":[26],"of":[27,54,63,117],"factors":[28],"such":[29],"as":[30],"changing":[31],"object":[32,74],"appearance,":[33],"illumination":[34],"variations":[35],"shadows,":[37],"partial":[38],"full":[40,88],"occlusions,":[41],"camera":[42],"motion,":[43],"distractors,":[44],"scale":[46,132,146,162],"changes.":[47,147],"Recently":[48],"our":[49],"group":[50],"proposed":[51],"Likelihood":[53],"Features":[55],"Tracking":[56],"(LoFT)":[57],"system":[58],"that":[59],"fuses":[60],"multiple":[61],"sources":[62],"information":[64,105,119],"about":[65],"target":[66],"its":[68,113],"environment":[69],"perform":[71],"robust":[72],"single":[73],"tracking.":[75],"LoFT":[76,101,170],"has":[77],"been":[78],"shown":[79],"successfully":[81],"track":[82],"objects":[83],"under":[84],"different":[85],"scenarios":[86],"motion":[89,93],"wide-area":[92],"imagery.":[94],"In":[95],"this":[96],"paper,":[97],"we":[98],"extend":[99],"the":[100,143],"framework":[102],"with":[103,158],"color":[104,118,160],"multi-scale":[107],"feature":[108],"sets":[109],"selection":[110,133],"boost":[112],"performance.":[114],"Our":[115],"extension":[116],"incorporated":[121],"through":[122,134],"Color":[123],"Name":[124],"(CN)":[125],"mapping":[126],"scheme.":[127],"Multiscale":[128],"features":[129],"computation,":[130],"frame":[135],"level":[136],"max-pooling":[137],"also":[139],"performed":[140],"adapt":[142],"tracker":[144],"Experiments":[148],"on":[149],"VOT":[150],"2015":[151],"benchmark,":[153],"which":[154],"includes":[155],"sequences":[157],"significant":[159,165],"variations,":[163],"show":[164],"performance":[166],"improvement":[167],"over":[168],"baseline":[169],"both":[171],"in":[172],"accuracy":[173],"robustness":[175],"11%":[176],"23%":[178],"respectively.":[179]},"counts_by_year":[{"year":2021,"cited_by_count":1},{"year":2020,"cited_by_count":1},{"year":2018,"cited_by_count":3},{"year":2017,"cited_by_count":2}],"updated_date":"2026-07-29T14:22:42.915294","created_date":"2025-10-10T00:00:00"}