{"id":"https://openalex.org/W2589127821","doi":"https://doi.org/10.1109/cisp-bmei.2016.7852680","title":"Stable feature mining based object representation for tracking applications","display_name":"Stable feature mining based object representation for tracking applications","publication_year":2016,"publication_date":"2016-10-01","ids":{"openalex":"https://openalex.org/W2589127821","doi":"https://doi.org/10.1109/cisp-bmei.2016.7852680","mag":"2589127821"},"language":"en","primary_location":{"id":"doi:10.1109/cisp-bmei.2016.7852680","is_oa":false,"landing_page_url":"https://doi.org/10.1109/cisp-bmei.2016.7852680","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2016 9th International Congress on Image and Signal Processing, BioMedical Engineering and Informatics (CISP-BMEI)","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/A5070355771","display_name":"Hong Lu","orcid":"https://orcid.org/0000-0002-4572-2854"},"institutions":[{"id":"https://openalex.org/I2799736854","display_name":"Nanjing Institute of Technology","ror":"https://ror.org/00n6txq60","country_code":"CN","type":"education","lineage":["https://openalex.org/I2799736854"]}],"countries":["CN"],"is_corresponding":true,"raw_author_name":"Hong Lu","raw_affiliation_strings":["Nanjing Institute of Technology, Nanjing, Jiangsu, CN"],"affiliations":[{"raw_affiliation_string":"Nanjing Institute of Technology, Nanjing, Jiangsu, CN","institution_ids":["https://openalex.org/I2799736854"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5044541383","display_name":"Ke Gu","orcid":"https://orcid.org/0000-0001-5540-3235"},"institutions":[{"id":"https://openalex.org/I172675005","display_name":"Nanyang Technological University","ror":"https://ror.org/02e7b5302","country_code":"SG","type":"education","lineage":["https://openalex.org/I172675005"]}],"countries":["SG"],"is_corresponding":false,"raw_author_name":"Ke Gu","raw_affiliation_strings":["Nanyang Technological University, Singapore, Singapore, SG"],"affiliations":[{"raw_affiliation_string":"Nanyang Technological University, Singapore, Singapore, SG","institution_ids":["https://openalex.org/I172675005"]}]}],"institutions":[],"countries_distinct_count":2,"institutions_distinct_count":2,"corresponding_author_ids":["https://openalex.org/A5070355771"],"corresponding_institution_ids":["https://openalex.org/I2799736854"],"apc_list":null,"apc_paid":null,"fwci":0.0,"has_fulltext":false,"cited_by_count":0,"citation_normalized_percentile":{"value":0.17926729,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":null,"biblio":{"volume":"52","issue":null,"first_page":"47","last_page":"53"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10331","display_name":"Video Surveillance and Tracking Methods","score":0.9997000098228455,"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":0.9997000098228455,"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/T14257","display_name":"Advanced Measurement and Detection Methods","score":0.986299991607666,"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/T11439","display_name":"Video Analysis and Summarization","score":0.9822999835014343,"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/artificial-intelligence","display_name":"Artificial intelligence","score":0.7160784006118774},{"id":"https://openalex.org/keywords/robustness","display_name":"Robustness (evolution)","score":0.687907874584198},{"id":"https://openalex.org/keywords/object","display_name":"Object (grammar)","score":0.6672446727752686},{"id":"https://openalex.org/keywords/histogram","display_name":"Histogram","score":0.6642196178436279},{"id":"https://openalex.org/keywords/video-tracking","display_name":"Video tracking","score":0.6608126759529114},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.6541306972503662},{"id":"https://openalex.org/keywords/pattern-recognition","display_name":"Pattern recognition (psychology)","score":0.6293653249740601},{"id":"https://openalex.org/keywords/computer-vision","display_name":"Computer vision","score":0.585409939289093},{"id":"https://openalex.org/keywords/feature","display_name":"Feature (linguistics)","score":0.5666216611862183},{"id":"https://openalex.org/keywords/frame","display_name":"Frame (networking)","score":0.5569216012954712},{"id":"https://openalex.org/keywords/representation","display_name":"Representation (politics)","score":0.5207455158233643},{"id":"https://openalex.org/keywords/cluster-analysis","display_name":"Cluster analysis","score":0.4808712601661682},{"id":"https://openalex.org/keywords/tracking","display_name":"Tracking (education)","score":0.4519117772579193},{"id":"https://openalex.org/keywords/image","display_name":"Image (mathematics)","score":0.18619462847709656}],"concepts":[{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.7160784006118774},{"id":"https://openalex.org/C63479239","wikidata":"https://www.wikidata.org/wiki/Q7353546","display_name":"Robustness (evolution)","level":3,"score":0.687907874584198},{"id":"https://openalex.org/C2781238097","wikidata":"https://www.wikidata.org/wiki/Q175026","display_name":"Object (grammar)","level":2,"score":0.6672446727752686},{"id":"https://openalex.org/C53533937","wikidata":"https://www.wikidata.org/wiki/Q185020","display_name":"Histogram","level":3,"score":0.6642196178436279},{"id":"https://openalex.org/C202474056","wikidata":"https://www.wikidata.org/wiki/Q1931635","display_name":"Video tracking","level":3,"score":0.6608126759529114},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.6541306972503662},{"id":"https://openalex.org/C153180895","wikidata":"https://www.wikidata.org/wiki/Q7148389","display_name":"Pattern recognition (psychology)","level":2,"score":0.6293653249740601},{"id":"https://openalex.org/C31972630","wikidata":"https://www.wikidata.org/wiki/Q844240","display_name":"Computer vision","level":1,"score":0.585409939289093},{"id":"https://openalex.org/C2776401178","wikidata":"https://www.wikidata.org/wiki/Q12050496","display_name":"Feature (linguistics)","level":2,"score":0.5666216611862183},{"id":"https://openalex.org/C126042441","wikidata":"https://www.wikidata.org/wiki/Q1324888","display_name":"Frame (networking)","level":2,"score":0.5569216012954712},{"id":"https://openalex.org/C2776359362","wikidata":"https://www.wikidata.org/wiki/Q2145286","display_name":"Representation (politics)","level":3,"score":0.5207455158233643},{"id":"https://openalex.org/C73555534","wikidata":"https://www.wikidata.org/wiki/Q622825","display_name":"Cluster analysis","level":2,"score":0.4808712601661682},{"id":"https://openalex.org/C2775936607","wikidata":"https://www.wikidata.org/wiki/Q466845","display_name":"Tracking (education)","level":2,"score":0.4519117772579193},{"id":"https://openalex.org/C115961682","wikidata":"https://www.wikidata.org/wiki/Q860623","display_name":"Image (mathematics)","level":2,"score":0.18619462847709656},{"id":"https://openalex.org/C76155785","wikidata":"https://www.wikidata.org/wiki/Q418","display_name":"Telecommunications","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/C199539241","wikidata":"https://www.wikidata.org/wiki/Q7748","display_name":"Law","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/C94625758","wikidata":"https://www.wikidata.org/wiki/Q7163","display_name":"Politics","level":2,"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/C185592680","wikidata":"https://www.wikidata.org/wiki/Q2329","display_name":"Chemistry","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/C19417346","wikidata":"https://www.wikidata.org/wiki/Q7922","display_name":"Pedagogy","level":1,"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/cisp-bmei.2016.7852680","is_oa":false,"landing_page_url":"https://doi.org/10.1109/cisp-bmei.2016.7852680","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2016 9th International Congress on Image and Signal Processing, BioMedical Engineering and Informatics (CISP-BMEI)","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":19,"referenced_works":["https://openalex.org/W29474918","https://openalex.org/W1966719686","https://openalex.org/W1986426688","https://openalex.org/W1992419399","https://openalex.org/W2020087242","https://openalex.org/W2020398551","https://openalex.org/W2045761924","https://openalex.org/W2046781710","https://openalex.org/W2050385561","https://openalex.org/W2051985940","https://openalex.org/W2056402417","https://openalex.org/W2065739526","https://openalex.org/W2073621395","https://openalex.org/W2087187226","https://openalex.org/W2091335486","https://openalex.org/W2132103241","https://openalex.org/W2167948827","https://openalex.org/W2298063375","https://openalex.org/W6601205835"],"related_works":["https://openalex.org/W4285271403","https://openalex.org/W2542007731","https://openalex.org/W2968379562","https://openalex.org/W2091015105","https://openalex.org/W4388689193","https://openalex.org/W2110899030","https://openalex.org/W29633852","https://openalex.org/W2985362983","https://openalex.org/W4327670844","https://openalex.org/W2810129309"],"abstract_inverted_index":{"Tracking":[0],"the":[1,16,25,48,56,65,81,88,92,110,114,139,142,146,160,164],"object":[2,17,36,49,66,89,111,140,147,179],"with":[3,101],"stable":[4,42,122,131,173],"features":[5],"is":[6,22,45,51,68,117,149],"an":[7],"important":[8],"and":[9,38,54,73,85,103,106,113,125,145,176],"challenging":[10],"task":[11],"in":[12,64,141,151,167,172,178],"real":[13],"scenes":[14],"where":[15],"appearance":[18],"constantly":[19],"changes":[20],"or":[21],"disturbed":[23],"by":[24],"background":[26],"etc.":[27],"In":[28],"this":[29],"paper,":[30],"a":[31],"novel":[32],"frame":[33],"work":[34],"of":[35,59,83,153,163],"representation":[37],"tracking":[39],"based":[40],"on":[41],"feature":[43,127,174],"mining":[44,175],"presented.":[46],"Firstly,":[47],"region":[50,67,74],"adaptively":[52],"detected":[53],"then":[55,118],"peak":[57],"contour":[58],"V":[60],"color":[61],"component":[62],"histogram":[63],"extracted":[69],"to":[70,96,120,137],"calculate":[71],"candidate":[72],"peaks":[75],"which":[76],"are":[77,99,134],"used":[78],"for":[79],"acquiring":[80],"number":[82,169],"clusters":[84],"further":[86],"classifying":[87],"appearance.":[90],"Secondly,":[91],"connection":[93],"subregions":[94,107],"belonging":[95],"every":[97],"cluster":[98,168],"described":[100],"observation":[102,116],"increment":[104,155],"models,":[105],"association":[108],"between":[109],"template":[112,148],"current":[115,143],"utilized":[119],"mine":[121],"subregion":[123,132],"pairs":[124],"get":[126],"change":[128],"ratios.":[129],"Finally,":[130],"displacements":[133],"weighted":[135],"fused":[136],"locate":[138],"frame,":[144],"updated":[150],"terms":[152],"average":[154],"variations.":[156],"Experimental":[157],"results":[158],"show":[159],"excellent":[161],"performance":[162],"proposed":[165],"algorithm":[166],"adaptivity,":[170],"robustness":[171],"accurateness":[177],"tracking.":[180]},"counts_by_year":[],"updated_date":"2025-11-06T03:46:38.306776","created_date":"2025-10-10T00:00:00"}
