{"id":"https://openalex.org/W1532681415","doi":"https://doi.org/10.1109/icme.2015.7177407","title":"Object tracking using structure-aware binary features","display_name":"Object tracking using structure-aware binary features","publication_year":2015,"publication_date":"2015-06-01","ids":{"openalex":"https://openalex.org/W1532681415","doi":"https://doi.org/10.1109/icme.2015.7177407","mag":"1532681415"},"language":"en","primary_location":{"id":"doi:10.1109/icme.2015.7177407","is_oa":false,"landing_page_url":"https://doi.org/10.1109/icme.2015.7177407","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2015 IEEE International Conference on Multimedia and Expo (ICME)","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/A5101616704","display_name":"Haoyu Ren","orcid":null},"institutions":[{"id":"https://openalex.org/I18014758","display_name":"Simon Fraser University","ror":"https://ror.org/0213rcc28","country_code":"CA","type":"education","lineage":["https://openalex.org/I18014758"]}],"countries":["CA"],"is_corresponding":true,"raw_author_name":"Haoyu Ren","raw_affiliation_strings":["Vision and Media Lab, Simon Fraser University, Vancouver, BC, CA","Vision and Media Lab, School of Computing Science, Simon Fraser University, 8888 University Drive, Vancouver, BC, CA"],"affiliations":[{"raw_affiliation_string":"Vision and Media Lab, Simon Fraser University, Vancouver, BC, CA","institution_ids":["https://openalex.org/I18014758"]},{"raw_affiliation_string":"Vision and Media Lab, School of Computing Science, Simon Fraser University, 8888 University Drive, Vancouver, BC, CA","institution_ids":["https://openalex.org/I18014758"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5047372644","display_name":"Ze-Nian Li","orcid":"https://orcid.org/0000-0001-9812-1537"},"institutions":[{"id":"https://openalex.org/I18014758","display_name":"Simon Fraser University","ror":"https://ror.org/0213rcc28","country_code":"CA","type":"education","lineage":["https://openalex.org/I18014758"]}],"countries":["CA"],"is_corresponding":false,"raw_author_name":"Ze-Nian Li","raw_affiliation_strings":["Vision and Media Lab, Simon Fraser University, Vancouver, BC, CA","Vision and Media Lab, School of Computing Science, Simon Fraser University, 8888 University Drive, Vancouver, BC, CA"],"affiliations":[{"raw_affiliation_string":"Vision and Media Lab, Simon Fraser University, Vancouver, BC, CA","institution_ids":["https://openalex.org/I18014758"]},{"raw_affiliation_string":"Vision and Media Lab, School of Computing Science, Simon Fraser University, 8888 University Drive, Vancouver, BC, CA","institution_ids":["https://openalex.org/I18014758"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":2,"corresponding_author_ids":["https://openalex.org/A5101616704"],"corresponding_institution_ids":["https://openalex.org/I18014758"],"apc_list":null,"apc_paid":null,"fwci":0.0,"has_fulltext":false,"cited_by_count":1,"citation_normalized_percentile":{"value":0.02685002,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":91,"max":95},"biblio":{"volume":null,"issue":null,"first_page":"1","last_page":"6"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10331","display_name":"Video Surveillance and Tracking Methods","score":0.9998999834060669,"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":0.9998999834060669,"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/T10627","display_name":"Advanced Image and Video Retrieval Techniques","score":0.9908999800682068,"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":0.9864000082015991,"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/discriminative-model","display_name":"Discriminative model","score":0.7852606773376465},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.7542691230773926},{"id":"https://openalex.org/keywords/robustness","display_name":"Robustness (evolution)","score":0.7301983833312988},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.695061206817627},{"id":"https://openalex.org/keywords/binary-number","display_name":"Binary number","score":0.6415635943412781},{"id":"https://openalex.org/keywords/pattern-recognition","display_name":"Pattern recognition (psychology)","score":0.629212498664856},{"id":"https://openalex.org/keywords/rectangle","display_name":"Rectangle","score":0.614690363407135},{"id":"https://openalex.org/keywords/video-tracking","display_name":"Video tracking","score":0.5409726500511169},{"id":"https://openalex.org/keywords/computer-vision","display_name":"Computer vision","score":0.5224170684814453},{"id":"https://openalex.org/keywords/local-binary-patterns","display_name":"Local binary patterns","score":0.43285197019577026},{"id":"https://openalex.org/keywords/domain","display_name":"Domain (mathematical analysis)","score":0.4174247682094574},{"id":"https://openalex.org/keywords/object","display_name":"Object (grammar)","score":0.3201870322227478},{"id":"https://openalex.org/keywords/histogram","display_name":"Histogram","score":0.2638668417930603},{"id":"https://openalex.org/keywords/mathematics","display_name":"Mathematics","score":0.2395249307155609},{"id":"https://openalex.org/keywords/image","display_name":"Image (mathematics)","score":0.15773725509643555}],"concepts":[{"id":"https://openalex.org/C97931131","wikidata":"https://www.wikidata.org/wiki/Q5282087","display_name":"Discriminative model","level":2,"score":0.7852606773376465},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.7542691230773926},{"id":"https://openalex.org/C63479239","wikidata":"https://www.wikidata.org/wiki/Q7353546","display_name":"Robustness (evolution)","level":3,"score":0.7301983833312988},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.695061206817627},{"id":"https://openalex.org/C48372109","wikidata":"https://www.wikidata.org/wiki/Q3913","display_name":"Binary number","level":2,"score":0.6415635943412781},{"id":"https://openalex.org/C153180895","wikidata":"https://www.wikidata.org/wiki/Q7148389","display_name":"Pattern recognition (psychology)","level":2,"score":0.629212498664856},{"id":"https://openalex.org/C2781302577","wikidata":"https://www.wikidata.org/wiki/Q209","display_name":"Rectangle","level":2,"score":0.614690363407135},{"id":"https://openalex.org/C202474056","wikidata":"https://www.wikidata.org/wiki/Q1931635","display_name":"Video tracking","level":3,"score":0.5409726500511169},{"id":"https://openalex.org/C31972630","wikidata":"https://www.wikidata.org/wiki/Q844240","display_name":"Computer vision","level":1,"score":0.5224170684814453},{"id":"https://openalex.org/C87335442","wikidata":"https://www.wikidata.org/wiki/Q2494345","display_name":"Local binary patterns","level":4,"score":0.43285197019577026},{"id":"https://openalex.org/C36503486","wikidata":"https://www.wikidata.org/wiki/Q11235244","display_name":"Domain (mathematical analysis)","level":2,"score":0.4174247682094574},{"id":"https://openalex.org/C2781238097","wikidata":"https://www.wikidata.org/wiki/Q175026","display_name":"Object (grammar)","level":2,"score":0.3201870322227478},{"id":"https://openalex.org/C53533937","wikidata":"https://www.wikidata.org/wiki/Q185020","display_name":"Histogram","level":3,"score":0.2638668417930603},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.2395249307155609},{"id":"https://openalex.org/C115961682","wikidata":"https://www.wikidata.org/wiki/Q860623","display_name":"Image (mathematics)","level":2,"score":0.15773725509643555},{"id":"https://openalex.org/C134306372","wikidata":"https://www.wikidata.org/wiki/Q7754","display_name":"Mathematical analysis","level":1,"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},{"id":"https://openalex.org/C94375191","wikidata":"https://www.wikidata.org/wiki/Q11205","display_name":"Arithmetic","level":1,"score":0.0},{"id":"https://openalex.org/C185592680","wikidata":"https://www.wikidata.org/wiki/Q2329","display_name":"Chemistry","level":0,"score":0.0},{"id":"https://openalex.org/C2524010","wikidata":"https://www.wikidata.org/wiki/Q8087","display_name":"Geometry","level":1,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/icme.2015.7177407","is_oa":false,"landing_page_url":"https://doi.org/10.1109/icme.2015.7177407","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2015 IEEE International Conference on Multimedia and Expo (ICME)","raw_type":"proceedings-article"}],"best_oa_location":null,"sustainable_development_goals":[{"score":0.7400000095367432,"id":"https://metadata.un.org/sdg/10","display_name":"Reduced inequalities"}],"awards":[],"funders":[{"id":"https://openalex.org/F4320334593","display_name":"Natural Sciences and Engineering Research Council of Canada","ror":"https://ror.org/01h531d29"}],"has_content":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":30,"referenced_works":["https://openalex.org/W138972569","https://openalex.org/W181493107","https://openalex.org/W1981219153","https://openalex.org/W1984978927","https://openalex.org/W2000326692","https://openalex.org/W2005756563","https://openalex.org/W2012600100","https://openalex.org/W2016309246","https://openalex.org/W2033198066","https://openalex.org/W2047237558","https://openalex.org/W2047691564","https://openalex.org/W2060814785","https://openalex.org/W2080479141","https://openalex.org/W2087885569","https://openalex.org/W2098941887","https://openalex.org/W2109579504","https://openalex.org/W2124211486","https://openalex.org/W2139916508","https://openalex.org/W2158061095","https://openalex.org/W2164598857","https://openalex.org/W2165037244","https://openalex.org/W2168802423","https://openalex.org/W2183648259","https://openalex.org/W2986028972","https://openalex.org/W6607209805","https://openalex.org/W6646330919","https://openalex.org/W6662317391","https://openalex.org/W6684332838","https://openalex.org/W6684760091","https://openalex.org/W6686234685"],"related_works":["https://openalex.org/W2055219403","https://openalex.org/W2791313072","https://openalex.org/W2242098268","https://openalex.org/W3166997759","https://openalex.org/W4244945894","https://openalex.org/W2104492225","https://openalex.org/W1990254706","https://openalex.org/W2404514746","https://openalex.org/W1843372508","https://openalex.org/W2012200063"],"abstract_inverted_index":{"Object":[0],"tracking":[1,63,128],"is":[2,20,68,87,130],"one":[3],"of":[4,12,25,33],"the":[5,18,54,58,62,65,75,80,84,95,104,109,127,144],"most":[6],"important":[7],"components":[8],"in":[9,37,52],"numerous":[10],"applications":[11],"computer":[13],"vision.":[14],"In":[15,61],"this":[16],"paper,":[17],"target":[19,110],"represented":[21],"by":[22,71,89],"a":[23,90,102],"series":[24],"binary":[26,30,46,136],"patterns,":[27],"where":[28],"each":[29],"pattern":[31],"consists":[32],"several":[34],"rectangle":[35],"pairs":[36],"variable":[38],"size":[39],"and":[40,57,83,98,111],"location.":[41],"As":[42,101],"complementary":[43],"to":[44,73,113,134],"traditional":[45,135],"descriptors,":[47],"these":[48],"patterns":[49,77],"are":[50],"extracted":[51],"both":[53],"intensity":[55],"domain":[56],"gradient":[59],"domain.":[60],"process,":[64],"RealAdaBoost":[66],"algorithm":[67],"adopted":[69],"frame":[70,72],"select":[74],"meaningful":[76],"while":[78],"considering":[79],"discriminative":[81],"ability":[82],"robustness.":[85],"This":[86],"achieved":[88],"penalty":[91],"term":[92],"based":[93],"on":[94,120],"classification":[96],"margin":[97],"structural":[99],"diversity.":[100],"result,":[103],"features":[105],"good":[106],"at":[107],"describing":[108],"robust":[112],"noises":[114],"will":[115],"be":[116],"selected.":[117],"Experimental":[118],"results":[119,142],"10":[121],"challenging":[122],"video":[123],"sequences":[124],"demonstrate":[125],"that":[126],"accuracy":[129],"significantly":[131],"improved":[132],"compared":[133],"descriptors.":[137],"It":[138],"also":[139],"achieves":[140],"competitive":[141],"with":[143],"commonly-used":[145],"algorithms.":[146]},"counts_by_year":[{"year":2025,"cited_by_count":1}],"updated_date":"2025-11-06T03:46:38.306776","created_date":"2025-10-10T00:00:00"}
