{"id":"https://openalex.org/W2939634612","doi":"https://doi.org/10.1109/icassp.2019.8683004","title":"Deep Convolutional Feature Histograms for Visual Object Tracking","display_name":"Deep Convolutional Feature Histograms for Visual Object Tracking","publication_year":2019,"publication_date":"2019-04-17","ids":{"openalex":"https://openalex.org/W2939634612","doi":"https://doi.org/10.1109/icassp.2019.8683004","mag":"2939634612"},"language":"en","primary_location":{"id":"doi:10.1109/icassp.2019.8683004","is_oa":false,"landing_page_url":"https://doi.org/10.1109/icassp.2019.8683004","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"ICASSP 2019 - 2019 IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP)","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/A5074409158","display_name":"Paraskevi Nousi","orcid":"https://orcid.org/0000-0002-3087-3174"},"institutions":[{"id":"https://openalex.org/I21370196","display_name":"Aristotle University of Thessaloniki","ror":"https://ror.org/02j61yw88","country_code":"GR","type":"education","lineage":["https://openalex.org/I21370196"]}],"countries":["GR"],"is_corresponding":false,"raw_author_name":"Paraskevi Nousi","raw_affiliation_strings":["Department of Informatics, Aristotle University of Thessaloniki, Greece"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Department of Informatics, Aristotle University of Thessaloniki, Greece","institution_ids":["https://openalex.org/I21370196"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5041054091","display_name":"Anastasios Tefas","orcid":"https://orcid.org/0000-0003-1288-3667"},"institutions":[{"id":"https://openalex.org/I21370196","display_name":"Aristotle University of Thessaloniki","ror":"https://ror.org/02j61yw88","country_code":"GR","type":"education","lineage":["https://openalex.org/I21370196"]}],"countries":["GR"],"is_corresponding":false,"raw_author_name":"Anastasios Tefas","raw_affiliation_strings":["Department of Informatics, Aristotle University of Thessaloniki, Greece"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Department of Informatics, Aristotle University of Thessaloniki, Greece","institution_ids":["https://openalex.org/I21370196"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5061130224","display_name":"Ioannis Pitas","orcid":"https://orcid.org/0009-0006-7555-8641"},"institutions":[{"id":"https://openalex.org/I21370196","display_name":"Aristotle University of Thessaloniki","ror":"https://ror.org/02j61yw88","country_code":"GR","type":"education","lineage":["https://openalex.org/I21370196"]}],"countries":["GR"],"is_corresponding":false,"raw_author_name":"Ioannis Pitas","raw_affiliation_strings":["Department of Informatics, Aristotle University of Thessaloniki, Greece"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Department of Informatics, Aristotle University of Thessaloniki, Greece","institution_ids":["https://openalex.org/I21370196"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":1,"corresponding_author_ids":[],"corresponding_institution_ids":["https://openalex.org/I21370196"],"apc_list":null,"apc_paid":null,"fwci":null,"has_fulltext":false,"cited_by_count":2,"citation_normalized_percentile":null,"cited_by_percentile_year":null,"biblio":{"volume":"2","issue":null,"first_page":"8375","last_page":"8379"},"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/T12222","display_name":"IoT-based Smart Home Systems","score":0.9865000247955322,"subfield":{"id":"https://openalex.org/subfields/2208","display_name":"Electrical and Electronic 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/T11963","display_name":"Impact of Light on Environment and Health","score":0.9804999828338623,"subfield":{"id":"https://openalex.org/subfields/2306","display_name":"Global and Planetary Change"},"field":{"id":"https://openalex.org/fields/23","display_name":"Environmental Science"},"domain":{"id":"https://openalex.org/domains/3","display_name":"Physical Sciences"}}],"keywords":[{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.8231137990951538},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.8189182281494141},{"id":"https://openalex.org/keywords/convolutional-neural-network","display_name":"Convolutional neural network","score":0.7498902678489685},{"id":"https://openalex.org/keywords/histogram","display_name":"Histogram","score":0.7228020429611206},{"id":"https://openalex.org/keywords/computer-vision","display_name":"Computer vision","score":0.6429455876350403},{"id":"https://openalex.org/keywords/feature","display_name":"Feature (linguistics)","score":0.6036055684089661},{"id":"https://openalex.org/keywords/feature-extraction","display_name":"Feature extraction","score":0.5908538699150085},{"id":"https://openalex.org/keywords/histogram-of-oriented-gradients","display_name":"Histogram of oriented gradients","score":0.5326024889945984},{"id":"https://openalex.org/keywords/pattern-recognition","display_name":"Pattern recognition (psychology)","score":0.532500147819519},{"id":"https://openalex.org/keywords/video-tracking","display_name":"Video tracking","score":0.5315114259719849},{"id":"https://openalex.org/keywords/tracking","display_name":"Tracking (education)","score":0.5170326828956604},{"id":"https://openalex.org/keywords/deep-learning","display_name":"Deep learning","score":0.49654966592788696},{"id":"https://openalex.org/keywords/object","display_name":"Object (grammar)","score":0.46540719270706177},{"id":"https://openalex.org/keywords/eye-tracking","display_name":"Eye tracking","score":0.4270368814468384},{"id":"https://openalex.org/keywords/object-detection","display_name":"Object detection","score":0.4229596257209778},{"id":"https://openalex.org/keywords/image","display_name":"Image (mathematics)","score":0.1548302173614502}],"concepts":[{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.8231137990951538},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.8189182281494141},{"id":"https://openalex.org/C81363708","wikidata":"https://www.wikidata.org/wiki/Q17084460","display_name":"Convolutional neural network","level":2,"score":0.7498902678489685},{"id":"https://openalex.org/C53533937","wikidata":"https://www.wikidata.org/wiki/Q185020","display_name":"Histogram","level":3,"score":0.7228020429611206},{"id":"https://openalex.org/C31972630","wikidata":"https://www.wikidata.org/wiki/Q844240","display_name":"Computer vision","level":1,"score":0.6429455876350403},{"id":"https://openalex.org/C2776401178","wikidata":"https://www.wikidata.org/wiki/Q12050496","display_name":"Feature (linguistics)","level":2,"score":0.6036055684089661},{"id":"https://openalex.org/C52622490","wikidata":"https://www.wikidata.org/wiki/Q1026626","display_name":"Feature extraction","level":2,"score":0.5908538699150085},{"id":"https://openalex.org/C17426736","wikidata":"https://www.wikidata.org/wiki/Q419918","display_name":"Histogram of oriented gradients","level":4,"score":0.5326024889945984},{"id":"https://openalex.org/C153180895","wikidata":"https://www.wikidata.org/wiki/Q7148389","display_name":"Pattern recognition (psychology)","level":2,"score":0.532500147819519},{"id":"https://openalex.org/C202474056","wikidata":"https://www.wikidata.org/wiki/Q1931635","display_name":"Video tracking","level":3,"score":0.5315114259719849},{"id":"https://openalex.org/C2775936607","wikidata":"https://www.wikidata.org/wiki/Q466845","display_name":"Tracking (education)","level":2,"score":0.5170326828956604},{"id":"https://openalex.org/C108583219","wikidata":"https://www.wikidata.org/wiki/Q197536","display_name":"Deep learning","level":2,"score":0.49654966592788696},{"id":"https://openalex.org/C2781238097","wikidata":"https://www.wikidata.org/wiki/Q175026","display_name":"Object (grammar)","level":2,"score":0.46540719270706177},{"id":"https://openalex.org/C56461940","wikidata":"https://www.wikidata.org/wiki/Q970687","display_name":"Eye tracking","level":2,"score":0.4270368814468384},{"id":"https://openalex.org/C2776151529","wikidata":"https://www.wikidata.org/wiki/Q3045304","display_name":"Object detection","level":3,"score":0.4229596257209778},{"id":"https://openalex.org/C115961682","wikidata":"https://www.wikidata.org/wiki/Q860623","display_name":"Image (mathematics)","level":2,"score":0.1548302173614502},{"id":"https://openalex.org/C15744967","wikidata":"https://www.wikidata.org/wiki/Q9418","display_name":"Psychology","level":0,"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}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/icassp.2019.8683004","is_oa":false,"landing_page_url":"https://doi.org/10.1109/icassp.2019.8683004","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"ICASSP 2019 - 2019 IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP)","raw_type":"proceedings-article"}],"best_oa_location":null,"sustainable_development_goals":[{"score":0.44999998807907104,"id":"https://metadata.un.org/sdg/4","display_name":"Quality Education"}],"awards":[],"funders":[{"id":"https://openalex.org/F4320320300","display_name":"European Commission","ror":"https://ror.org/00k4n6c32"}],"has_content":{"grobid_xml":false,"pdf":false},"content_urls":null,"referenced_works_count":29,"referenced_works":["https://openalex.org/W161114242","https://openalex.org/W818325216","https://openalex.org/W1857884451","https://openalex.org/W1964846093","https://openalex.org/W2000326692","https://openalex.org/W2027714080","https://openalex.org/W2043123015","https://openalex.org/W2089961441","https://openalex.org/W2098941887","https://openalex.org/W2117539524","https://openalex.org/W2121150433","https://openalex.org/W2154889144","https://openalex.org/W2158592639","https://openalex.org/W2159128898","https://openalex.org/W2340000481","https://openalex.org/W2470394683","https://openalex.org/W2518876086","https://openalex.org/W2557641257","https://openalex.org/W2605381261","https://openalex.org/W2735721798","https://openalex.org/W2898377853","https://openalex.org/W2962824803","https://openalex.org/W2963828468","https://openalex.org/W2964253307","https://openalex.org/W6623108133","https://openalex.org/W6720898849","https://openalex.org/W6726654379","https://openalex.org/W6736018854","https://openalex.org/W6755575762"],"related_works":["https://openalex.org/W2071599417","https://openalex.org/W2048716406","https://openalex.org/W1870444468","https://openalex.org/W2979608518","https://openalex.org/W1964725559","https://openalex.org/W3003960249","https://openalex.org/W2045053268","https://openalex.org/W3109748140","https://openalex.org/W2767833206","https://openalex.org/W2433492094"],"abstract_inverted_index":{"Visual":[0],"Object":[1],"Tracking":[2],"remains":[3],"an":[4],"open":[5],"and":[6,24,87,115,129],"challenging":[7],"task":[8],"in":[9,107],"the":[10,32,45,72,85,113,127,132],"Computer":[11],"Vision":[12],"field,":[13],"requiring":[14],"tracking":[15,39],"algorithms":[16],"to":[17,137],"achieve":[18],"a":[19,56,68,93,108],"feeble":[20],"balance":[21],"between":[22],"precision":[23],"speed":[25],"performance.":[26],"In":[27],"this":[28],"work,":[29],"inspired":[30],"by":[31],"classic":[33],"Mean":[34],"Shift":[35],"algorithm":[36],"for":[37,112],"object":[38],"using":[40],"histograms,":[41],"as":[42,44,71,90,92],"well":[43,91],"recent":[46],"advances":[47],"of":[48,79,118,131],"deep":[49,69],"Convolutional":[50],"Neural":[51],"Networks":[52],"(CNNs),":[53],"we":[54],"propose":[55],"novel":[57],"tracker":[58,66,105],"that":[59],"incorporates":[60],"elements":[61],"from":[62,84,101],"both":[63],"worlds.":[64],"Our":[65],"uses":[67],"CNN":[70],"feature":[73],"extraction":[74],"backbone,":[75],"which":[76,98],"is":[77],"capable":[78],"extracting":[80],"semantically":[81],"meaningful":[82],"features":[83],"target":[86,121],"its":[88],"background,":[89],"fully":[94],"learnable":[95],"Bag-of-Features":[96],"mechanism":[97],"extracts":[99],"histograms":[100],"those":[102],"features.":[103],"The":[104],"operates":[106],"fully-convolutional":[109],"fashion,":[110],"allowing":[111,135],"direct":[114],"efficient":[116],"evaluation":[117],"multiple":[119],"possible":[120],"locations.":[122],"Extensive":[123],"experimental":[124],"results":[125],"demonstrate":[126],"efficiency":[128],"effectiveness":[130],"proposed":[133],"tracker,":[134],"it":[136],"run":[138],"at":[139],"high":[140],"speeds":[141],"even":[142],"on":[143],"systems":[144],"with":[145],"lower":[146],"computational":[147],"capacity.":[148]},"counts_by_year":[{"year":2022,"cited_by_count":1},{"year":2020,"cited_by_count":1}],"updated_date":"2026-07-14T23:27:15.235271","created_date":"2025-10-10T00:00:00"}