{"id":"https://openalex.org/W2754635888","doi":"https://doi.org/10.1109/icip.2017.8296459","title":"Visual tracking via structural patch-based dictionary pair learning","display_name":"Visual tracking via structural patch-based dictionary pair learning","publication_year":2017,"publication_date":"2017-09-01","ids":{"openalex":"https://openalex.org/W2754635888","doi":"https://doi.org/10.1109/icip.2017.8296459","mag":"2754635888"},"language":"en","primary_location":{"id":"doi:10.1109/icip.2017.8296459","is_oa":false,"landing_page_url":"https://doi.org/10.1109/icip.2017.8296459","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2017 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/A5061274720","display_name":"Tao Zhou","orcid":"https://orcid.org/0000-0002-2592-1688"},"institutions":[{"id":"https://openalex.org/I183067930","display_name":"Shanghai Jiao Tong University","ror":"https://ror.org/0220qvk04","country_code":"CN","type":"education","lineage":["https://openalex.org/I183067930"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Tao Zhou","raw_affiliation_strings":["Institute of Image Processing and Pattern Recognition, Shanghai Jiao Tong University, China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Institute of Image Processing and Pattern Recognition, Shanghai Jiao Tong University, China","institution_ids":["https://openalex.org/I183067930"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5016703530","display_name":"Fanghui Liu","orcid":"https://orcid.org/0000-0003-4133-7921"},"institutions":[{"id":"https://openalex.org/I183067930","display_name":"Shanghai Jiao Tong University","ror":"https://ror.org/0220qvk04","country_code":"CN","type":"education","lineage":["https://openalex.org/I183067930"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Fanghui Liu","raw_affiliation_strings":["Institute of Image Processing and Pattern Recognition, Shanghai Jiao Tong University, China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Institute of Image Processing and Pattern Recognition, Shanghai Jiao Tong University, China","institution_ids":["https://openalex.org/I183067930"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5034881097","display_name":"Harish Bhaskar","orcid":"https://orcid.org/0000-0001-6517-6232"},"institutions":[{"id":"https://openalex.org/I176601375","display_name":"Khalifa University of Science and Technology","ror":"https://ror.org/05hffr360","country_code":"AE","type":"education","lineage":["https://openalex.org/I176601375"]}],"countries":["AE"],"is_corresponding":false,"raw_author_name":"Harish Bhaskar","raw_affiliation_strings":["Dept. of Elec. & Comp. Engg., Khalifa Univ. of Science Technology and Research, Abu Dhabi, U.A.E"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Dept. of Elec. & Comp. Engg., Khalifa Univ. of Science Technology and Research, Abu Dhabi, U.A.E","institution_ids":["https://openalex.org/I176601375"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5100404947","display_name":"Jie Yang","orcid":"https://orcid.org/0000-0003-4801-7162"},"institutions":[{"id":"https://openalex.org/I183067930","display_name":"Shanghai Jiao Tong University","ror":"https://ror.org/0220qvk04","country_code":"CN","type":"education","lineage":["https://openalex.org/I183067930"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Jie Yang","raw_affiliation_strings":["Institute of Image Processing and Pattern Recognition, Shanghai Jiao Tong University, China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Institute of Image Processing and Pattern Recognition, Shanghai Jiao Tong University, China","institution_ids":["https://openalex.org/I183067930"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5100778791","display_name":"Lei Chen","orcid":"https://orcid.org/0000-0002-6071-8888"},"institutions":[{"id":"https://openalex.org/I41198531","display_name":"Nanjing University of Posts and Telecommunications","ror":"https://ror.org/043bpky34","country_code":"CN","type":"education","lineage":["https://openalex.org/I41198531"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Lei Chen","raw_affiliation_strings":["School of Computer Science, Nanjing University of Posts and Telecommunications, China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"School of Computer Science, Nanjing University of Posts and Telecommunications, China","institution_ids":["https://openalex.org/I41198531"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5011255415","display_name":"Ping Cai","orcid":"https://orcid.org/0000-0002-5621-1478"},"institutions":[{"id":"https://openalex.org/I183067930","display_name":"Shanghai Jiao Tong University","ror":"https://ror.org/0220qvk04","country_code":"CN","type":"education","lineage":["https://openalex.org/I183067930"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Ping Cai","raw_affiliation_strings":["Department of Instrument Science and Engineering, Shanghai Jiao Tong University, China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Department of Instrument Science and Engineering, Shanghai Jiao Tong University, China","institution_ids":["https://openalex.org/I183067930"]}]}],"institutions":[],"countries_distinct_count":2,"institutions_distinct_count":6,"corresponding_author_ids":[],"corresponding_institution_ids":[],"apc_list":null,"apc_paid":null,"fwci":0.0,"has_fulltext":false,"cited_by_count":0,"citation_normalized_percentile":{"value":0.12579715,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":null,"biblio":{"volume":"21","issue":null,"first_page":"1137","last_page":"1141"},"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/T10812","display_name":"Human Pose and Action Recognition","score":0.9503999948501587,"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/T12597","display_name":"Fire Detection and Safety Systems","score":0.9437999725341797,"subfield":{"id":"https://openalex.org/subfields/2213","display_name":"Safety, Risk, Reliability and Quality"},"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":0.8806974291801453},{"id":"https://openalex.org/keywords/bittorrent-tracker","display_name":"BitTorrent tracker","score":0.7757323980331421},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.7664724588394165},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.7510986924171448},{"id":"https://openalex.org/keywords/benchmark","display_name":"Benchmark (surveying)","score":0.7464250326156616},{"id":"https://openalex.org/keywords/eye-tracking","display_name":"Eye tracking","score":0.7236320972442627},{"id":"https://openalex.org/keywords/active-appearance-model","display_name":"Active appearance model","score":0.6182959675788879},{"id":"https://openalex.org/keywords/video-tracking","display_name":"Video tracking","score":0.5600023865699768},{"id":"https://openalex.org/keywords/tracking","display_name":"Tracking (education)","score":0.5570183396339417},{"id":"https://openalex.org/keywords/pattern-recognition","display_name":"Pattern recognition (psychology)","score":0.5508669018745422},{"id":"https://openalex.org/keywords/computer-vision","display_name":"Computer vision","score":0.49313849210739136},{"id":"https://openalex.org/keywords/class","display_name":"Class (philosophy)","score":0.4772619903087616},{"id":"https://openalex.org/keywords/representation","display_name":"Representation (politics)","score":0.4670350253582001},{"id":"https://openalex.org/keywords/task","display_name":"Task (project management)","score":0.4179914593696594},{"id":"https://openalex.org/keywords/object","display_name":"Object (grammar)","score":0.39968234300613403},{"id":"https://openalex.org/keywords/image","display_name":"Image (mathematics)","score":0.19515764713287354},{"id":"https://openalex.org/keywords/engineering","display_name":"Engineering","score":0.0805114209651947}],"concepts":[{"id":"https://openalex.org/C97931131","wikidata":"https://www.wikidata.org/wiki/Q5282087","display_name":"Discriminative model","level":2,"score":0.8806974291801453},{"id":"https://openalex.org/C57501372","wikidata":"https://www.wikidata.org/wiki/Q2021268","display_name":"BitTorrent tracker","level":3,"score":0.7757323980331421},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.7664724588394165},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.7510986924171448},{"id":"https://openalex.org/C185798385","wikidata":"https://www.wikidata.org/wiki/Q1161707","display_name":"Benchmark (surveying)","level":2,"score":0.7464250326156616},{"id":"https://openalex.org/C56461940","wikidata":"https://www.wikidata.org/wiki/Q970687","display_name":"Eye tracking","level":2,"score":0.7236320972442627},{"id":"https://openalex.org/C83248878","wikidata":"https://www.wikidata.org/wiki/Q344000","display_name":"Active appearance model","level":3,"score":0.6182959675788879},{"id":"https://openalex.org/C202474056","wikidata":"https://www.wikidata.org/wiki/Q1931635","display_name":"Video tracking","level":3,"score":0.5600023865699768},{"id":"https://openalex.org/C2775936607","wikidata":"https://www.wikidata.org/wiki/Q466845","display_name":"Tracking (education)","level":2,"score":0.5570183396339417},{"id":"https://openalex.org/C153180895","wikidata":"https://www.wikidata.org/wiki/Q7148389","display_name":"Pattern recognition (psychology)","level":2,"score":0.5508669018745422},{"id":"https://openalex.org/C31972630","wikidata":"https://www.wikidata.org/wiki/Q844240","display_name":"Computer vision","level":1,"score":0.49313849210739136},{"id":"https://openalex.org/C2777212361","wikidata":"https://www.wikidata.org/wiki/Q5127848","display_name":"Class (philosophy)","level":2,"score":0.4772619903087616},{"id":"https://openalex.org/C2776359362","wikidata":"https://www.wikidata.org/wiki/Q2145286","display_name":"Representation (politics)","level":3,"score":0.4670350253582001},{"id":"https://openalex.org/C2780451532","wikidata":"https://www.wikidata.org/wiki/Q759676","display_name":"Task (project management)","level":2,"score":0.4179914593696594},{"id":"https://openalex.org/C2781238097","wikidata":"https://www.wikidata.org/wiki/Q175026","display_name":"Object (grammar)","level":2,"score":0.39968234300613403},{"id":"https://openalex.org/C115961682","wikidata":"https://www.wikidata.org/wiki/Q860623","display_name":"Image (mathematics)","level":2,"score":0.19515764713287354},{"id":"https://openalex.org/C127413603","wikidata":"https://www.wikidata.org/wiki/Q11023","display_name":"Engineering","level":0,"score":0.0805114209651947},{"id":"https://openalex.org/C199539241","wikidata":"https://www.wikidata.org/wiki/Q7748","display_name":"Law","level":1,"score":0.0},{"id":"https://openalex.org/C17744445","wikidata":"https://www.wikidata.org/wiki/Q36442","display_name":"Political science","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/C13280743","wikidata":"https://www.wikidata.org/wiki/Q131089","display_name":"Geodesy","level":1,"score":0.0},{"id":"https://openalex.org/C201995342","wikidata":"https://www.wikidata.org/wiki/Q682496","display_name":"Systems engineering","level":1,"score":0.0},{"id":"https://openalex.org/C205649164","wikidata":"https://www.wikidata.org/wiki/Q1071","display_name":"Geography","level":0,"score":0.0},{"id":"https://openalex.org/C94625758","wikidata":"https://www.wikidata.org/wiki/Q7163","display_name":"Politics","level":2,"score":0.0},{"id":"https://openalex.org/C19417346","wikidata":"https://www.wikidata.org/wiki/Q7922","display_name":"Pedagogy","level":1,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/icip.2017.8296459","is_oa":false,"landing_page_url":"https://doi.org/10.1109/icip.2017.8296459","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2017 IEEE International Conference on Image Processing (ICIP)","raw_type":"proceedings-article"}],"best_oa_location":null,"sustainable_development_goals":[{"score":0.7599999904632568,"display_name":"Reduced inequalities","id":"https://metadata.un.org/sdg/10"}],"awards":[],"funders":[],"has_content":{"grobid_xml":false,"pdf":false},"content_urls":null,"referenced_works_count":29,"referenced_works":["https://openalex.org/W1945612181","https://openalex.org/W1960880753","https://openalex.org/W1967506461","https://openalex.org/W1974978785","https://openalex.org/W2016075127","https://openalex.org/W2019972236","https://openalex.org/W2024657922","https://openalex.org/W2056339660","https://openalex.org/W2071551242","https://openalex.org/W2089961441","https://openalex.org/W2098854771","https://openalex.org/W2098941887","https://openalex.org/W2121609805","https://openalex.org/W2123361652","https://openalex.org/W2124211486","https://openalex.org/W2139047213","https://openalex.org/W2162383208","https://openalex.org/W2166371785","https://openalex.org/W2167153731","https://openalex.org/W2183648259","https://openalex.org/W2293118806","https://openalex.org/W2403533250","https://openalex.org/W2404979824","https://openalex.org/W2415584503","https://openalex.org/W6683886257","https://openalex.org/W6684213969","https://openalex.org/W6684563349","https://openalex.org/W6686234685","https://openalex.org/W6716550860"],"related_works":["https://openalex.org/W2803618243","https://openalex.org/W3020706491","https://openalex.org/W4385454113","https://openalex.org/W2804764393","https://openalex.org/W4386114301","https://openalex.org/W4386158955","https://openalex.org/W4384788979","https://openalex.org/W2511178891","https://openalex.org/W256589335","https://openalex.org/W2012200063"],"abstract_inverted_index":{"In":[0],"this":[1],"paper,":[2],"a":[3,32,42,68,75],"novel":[4,33],"visual":[5],"tracking":[6,65,96],"framework":[7],"based":[8],"on":[9,98],"Structural":[10],"Patch-based":[11],"Dictionary":[12],"Pair":[13],"Learning":[14],"(SPDPL),":[15],"is":[16,81],"proposed.":[17],"The":[18,37],"proposed":[19,38,95],"representation":[20],"model":[21,80],"encapsulates":[22],"partial":[23],"and":[24,44,71],"spatial":[25],"structural":[26],"variations":[27],"of":[28,55,93],"the":[29,52,56,64,85,94,99],"target":[30,57],"through":[31],"dictionary":[34,46],"learning":[35,41],"scheme.":[36],"method":[39],"facilitates":[40],"robust":[43],"discriminative":[45],"by":[47],"considering":[48],"all":[49],"patches":[50],"from":[51],"same":[53],"part":[54],"region":[58],"as":[59],"one":[60],"class,":[61],"thus":[62],"transforming":[63],"problem":[66],"into":[67],"multi-class":[69],"classification":[70],"reconstruction":[72],"task.":[73],"Finally,":[74],"simple":[76],"yet":[77],"effective":[78],"observation":[79],"designed":[82],"to":[83],"obtain":[84],"most":[86],"optimal":[87],"candidate":[88],"during":[89],"tracking.":[90],"Systems":[91],"experiments":[92],"algorithm":[97],"Object":[100],"Tracker":[101],"Benchmark":[102],"(OTB)":[103],"dataset":[104],"have":[105],"demonstrated":[106],"improvements":[107],"against":[108],"several":[109],"other":[110],"state-of-the-art":[111],"trackers.":[112]},"counts_by_year":[],"updated_date":"2026-06-11T09:08:48.828518","created_date":"2025-10-10T00:00:00"}