{"id":"https://openalex.org/W2425545947","doi":"https://doi.org/10.1109/ncvpripg.2015.7490003","title":"A novel stereo matching approach for pedestrian re-identification","display_name":"A novel stereo matching approach for pedestrian re-identification","publication_year":2015,"publication_date":"2015-12-01","ids":{"openalex":"https://openalex.org/W2425545947","doi":"https://doi.org/10.1109/ncvpripg.2015.7490003","mag":"2425545947"},"language":"en","primary_location":{"id":"doi:10.1109/ncvpripg.2015.7490003","is_oa":false,"landing_page_url":"https://doi.org/10.1109/ncvpripg.2015.7490003","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2015 Fifth National Conference on Computer Vision, Pattern Recognition, Image Processing and Graphics (NCVPRIPG)","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/A5055091440","display_name":"Soma Biswas","orcid":"https://orcid.org/0000-0002-9068-7023"},"institutions":[{"id":"https://openalex.org/I59270414","display_name":"Indian Institute of Science Bangalore","ror":"https://ror.org/04dese585","country_code":"IN","type":"education","lineage":["https://openalex.org/I59270414"]}],"countries":["IN"],"is_corresponding":true,"raw_author_name":"Soma Biswas","raw_affiliation_strings":["Department of Electrical Engineering, Indian Institute of Science, Bangalore, India"],"affiliations":[{"raw_affiliation_string":"Department of Electrical Engineering, Indian Institute of Science, Bangalore, India","institution_ids":["https://openalex.org/I59270414"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":1,"corresponding_author_ids":["https://openalex.org/A5055091440"],"corresponding_institution_ids":["https://openalex.org/I59270414"],"apc_list":null,"apc_paid":null,"fwci":0.0,"has_fulltext":false,"cited_by_count":0,"citation_normalized_percentile":{"value":0.22178486,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":null,"biblio":{"volume":null,"issue":null,"first_page":"1","last_page":"4"},"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/T10531","display_name":"Advanced Vision and Imaging","score":0.9991000294685364,"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":0.9975000023841858,"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/computer-science","display_name":"Computer science","score":0.7945981025695801},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.7874715328216553},{"id":"https://openalex.org/keywords/computer-vision","display_name":"Computer vision","score":0.6981275081634521},{"id":"https://openalex.org/keywords/identification","display_name":"Identification (biology)","score":0.6866545081138611},{"id":"https://openalex.org/keywords/matching","display_name":"Matching (statistics)","score":0.6775403022766113},{"id":"https://openalex.org/keywords/pedestrian","display_name":"Pedestrian","score":0.6057102084159851},{"id":"https://openalex.org/keywords/similarity","display_name":"Similarity (geometry)","score":0.4863925278186798},{"id":"https://openalex.org/keywords/pedestrian-detection","display_name":"Pedestrian detection","score":0.42880070209503174},{"id":"https://openalex.org/keywords/pattern-recognition","display_name":"Pattern recognition (psychology)","score":0.36995792388916016},{"id":"https://openalex.org/keywords/image","display_name":"Image (mathematics)","score":0.24829527735710144},{"id":"https://openalex.org/keywords/engineering","display_name":"Engineering","score":0.09834706783294678},{"id":"https://openalex.org/keywords/mathematics","display_name":"Mathematics","score":0.07709652185440063}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.7945981025695801},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.7874715328216553},{"id":"https://openalex.org/C31972630","wikidata":"https://www.wikidata.org/wiki/Q844240","display_name":"Computer vision","level":1,"score":0.6981275081634521},{"id":"https://openalex.org/C116834253","wikidata":"https://www.wikidata.org/wiki/Q2039217","display_name":"Identification (biology)","level":2,"score":0.6866545081138611},{"id":"https://openalex.org/C165064840","wikidata":"https://www.wikidata.org/wiki/Q1321061","display_name":"Matching (statistics)","level":2,"score":0.6775403022766113},{"id":"https://openalex.org/C2777113093","wikidata":"https://www.wikidata.org/wiki/Q221488","display_name":"Pedestrian","level":2,"score":0.6057102084159851},{"id":"https://openalex.org/C103278499","wikidata":"https://www.wikidata.org/wiki/Q254465","display_name":"Similarity (geometry)","level":3,"score":0.4863925278186798},{"id":"https://openalex.org/C2780156472","wikidata":"https://www.wikidata.org/wiki/Q2355550","display_name":"Pedestrian detection","level":3,"score":0.42880070209503174},{"id":"https://openalex.org/C153180895","wikidata":"https://www.wikidata.org/wiki/Q7148389","display_name":"Pattern recognition (psychology)","level":2,"score":0.36995792388916016},{"id":"https://openalex.org/C115961682","wikidata":"https://www.wikidata.org/wiki/Q860623","display_name":"Image (mathematics)","level":2,"score":0.24829527735710144},{"id":"https://openalex.org/C127413603","wikidata":"https://www.wikidata.org/wiki/Q11023","display_name":"Engineering","level":0,"score":0.09834706783294678},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.07709652185440063},{"id":"https://openalex.org/C105795698","wikidata":"https://www.wikidata.org/wiki/Q12483","display_name":"Statistics","level":1,"score":0.0},{"id":"https://openalex.org/C86803240","wikidata":"https://www.wikidata.org/wiki/Q420","display_name":"Biology","level":0,"score":0.0},{"id":"https://openalex.org/C22212356","wikidata":"https://www.wikidata.org/wiki/Q775325","display_name":"Transport engineering","level":1,"score":0.0},{"id":"https://openalex.org/C59822182","wikidata":"https://www.wikidata.org/wiki/Q441","display_name":"Botany","level":1,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/ncvpripg.2015.7490003","is_oa":false,"landing_page_url":"https://doi.org/10.1109/ncvpripg.2015.7490003","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2015 Fifth National Conference on Computer Vision, Pattern Recognition, Image Processing and Graphics (NCVPRIPG)","raw_type":"proceedings-article"}],"best_oa_location":null,"sustainable_development_goals":[{"score":0.6800000071525574,"id":"https://metadata.un.org/sdg/11","display_name":"Sustainable cities and communities"}],"awards":[],"funders":[],"has_content":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":23,"referenced_works":["https://openalex.org/W41482161","https://openalex.org/W42769906","https://openalex.org/W1518138188","https://openalex.org/W1887734902","https://openalex.org/W1979260620","https://openalex.org/W1991452654","https://openalex.org/W2046835352","https://openalex.org/W2047632871","https://openalex.org/W2048110836","https://openalex.org/W2062677035","https://openalex.org/W2096306138","https://openalex.org/W2098807270","https://openalex.org/W2113609219","https://openalex.org/W2122287342","https://openalex.org/W2126791727","https://openalex.org/W2131255818","https://openalex.org/W2151103935","https://openalex.org/W2157577964","https://openalex.org/W4298190105","https://openalex.org/W6601733005","https://openalex.org/W6631178364","https://openalex.org/W6639269566","https://openalex.org/W6674809736"],"related_works":["https://openalex.org/W2392100589","https://openalex.org/W2512789322","https://openalex.org/W2101960027","https://openalex.org/W2197846993","https://openalex.org/W49697837","https://openalex.org/W2586575957","https://openalex.org/W3122828758","https://openalex.org/W2170799233","https://openalex.org/W2972620127","https://openalex.org/W2981141433"],"abstract_inverted_index":{"Automatic":[0],"and":[1,16,31,54],"reliable":[2],"identification":[3],"of":[4,21,39,65,88,92,96,105,141,158],"pedestrians":[5],"from":[6,129],"multiple":[7,130],"camera":[8,66],"views":[9],"is":[10,99,117,137],"very":[11,36],"important":[12],"for":[13,61,76,101],"video":[14],"surveillance":[15],"can":[17],"save":[18],"a":[19,51,62,73,142],"lot":[20],"manual":[22],"effort.":[23],"The":[24,90,132],"significant":[25],"variations":[26,123],"in":[27,50,125],"viewpoints,":[28],"poses,":[29],"illumination":[30],"occlusions":[32],"makes":[33],"this":[34,44,69,115],"problem":[35,45],"challenging.":[37],"Most":[38],"the":[40,93,103,106,120,126,151,156,159],"existing":[41],"approaches":[42],"addressing":[43],"handle":[46],"drastic":[47],"viewpoint":[48],"change":[49],"supervised":[52],"way":[53],"thus":[55],"require":[56,85],"labelling":[57],"new":[58],"training":[59],"data":[60],"different":[63],"pair":[64],"views.":[67],"In":[68],"paper,":[70],"we":[71],"present":[72],"novel":[74],"approach":[75],"pedestrian":[77,134],"re-identification":[78,135],"using":[79],"stereo":[80,94,145],"matching,":[81],"which":[82],"does":[83],"not":[84],"any":[86],"kind":[87],"training.":[89],"cost":[91,116],"matching":[95,146],"two":[97],"images":[98,127],"used":[100],"evaluating":[102],"similarity":[104],"images,":[107],"without":[108],"performing":[109],"3-D":[110],"reconstruction.":[111],"We":[112],"show":[113],"that":[114],"robust":[118],"to":[119],"large":[121],"pose":[122],"observed":[124],"captured":[128],"cameras.":[131],"proposed":[133,160],"algorithm":[136],"built":[138],"on":[139,150],"top":[140],"dynamic":[143],"programming":[144],"algorithm.":[147],"Experimental":[148],"evaluation":[149],"challenging":[152],"VIPeR":[153],"dataset":[154],"shows":[155],"effectiveness":[157],"approach.":[161]},"counts_by_year":[],"updated_date":"2025-11-06T03:46:38.306776","created_date":"2025-10-10T00:00:00"}
