{"id":"https://openalex.org/W1999003851","doi":"https://doi.org/10.1109/icig.2013.43","title":"Edge Grouping with a Novel Shape Model for Object Detection","display_name":"Edge Grouping with a Novel Shape Model for Object Detection","publication_year":2013,"publication_date":"2013-07-01","ids":{"openalex":"https://openalex.org/W1999003851","doi":"https://doi.org/10.1109/icig.2013.43","mag":"1999003851"},"language":"en","primary_location":{"id":"doi:10.1109/icig.2013.43","is_oa":false,"landing_page_url":"https://doi.org/10.1109/icig.2013.43","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2013 Seventh International Conference on Image and Graphics","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/A5100732507","display_name":"Lei Ma","orcid":"https://orcid.org/0000-0002-5099-5312"},"institutions":[{"id":"https://openalex.org/I4210166112","display_name":"State Key Laboratory of Remote Sensing Science","ror":"https://ror.org/05wzjqa24","country_code":"CN","type":"facility","lineage":["https://openalex.org/I4210166112"]}],"countries":["CN"],"is_corresponding":true,"raw_author_name":"Lei Ma","raw_affiliation_strings":["Beijing Institute of Remote Sensing Information, Beijing, China","Beijing Inst. of Remote Sensing Inf., Beijing, China"],"affiliations":[{"raw_affiliation_string":"Beijing Institute of Remote Sensing Information, Beijing, China","institution_ids":["https://openalex.org/I4210166112"]},{"raw_affiliation_string":"Beijing Inst. of Remote Sensing Inf., Beijing, China","institution_ids":["https://openalex.org/I4210166112"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5049751336","display_name":"Bitao Jiang","orcid":"https://orcid.org/0000-0002-9115-8932"},"institutions":[{"id":"https://openalex.org/I4210112150","display_name":"Institute of Automation","ror":"https://ror.org/022c3hy66","country_code":"CN","type":"facility","lineage":["https://openalex.org/I19820366","https://openalex.org/I4210112150"]},{"id":"https://openalex.org/I4210166112","display_name":"State Key Laboratory of Remote Sensing Science","ror":"https://ror.org/05wzjqa24","country_code":"CN","type":"facility","lineage":["https://openalex.org/I4210166112"]},{"id":"https://openalex.org/I19820366","display_name":"Chinese Academy of Sciences","ror":"https://ror.org/034t30j35","country_code":"CN","type":"funder","lineage":["https://openalex.org/I19820366"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Bitao Jiang","raw_affiliation_strings":["Institute of Automation, Chinese Academy of Sciences, China","Beijing Inst. of Remote Sensing Inf., Beijing, China"],"affiliations":[{"raw_affiliation_string":"Institute of Automation, Chinese Academy of Sciences, China","institution_ids":["https://openalex.org/I4210112150","https://openalex.org/I19820366"]},{"raw_affiliation_string":"Beijing Inst. of Remote Sensing Inf., Beijing, China","institution_ids":["https://openalex.org/I4210166112"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":2,"corresponding_author_ids":["https://openalex.org/A5100732507"],"corresponding_institution_ids":["https://openalex.org/I4210166112"],"apc_list":null,"apc_paid":null,"fwci":0.0,"has_fulltext":false,"cited_by_count":2,"citation_normalized_percentile":{"value":0.07510264,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":94,"max":96},"biblio":{"volume":"4","issue":null,"first_page":"186","last_page":"191"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10627","display_name":"Advanced Image and Video Retrieval Techniques","score":0.992900013923645,"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/T10627","display_name":"Advanced Image and Video Retrieval Techniques","score":0.992900013923645,"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/T10689","display_name":"Remote-Sensing Image Classification","score":0.9876000285148621,"subfield":{"id":"https://openalex.org/subfields/2214","display_name":"Media Technology"},"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/T12389","display_name":"Infrared Target Detection Methodologies","score":0.9721999764442444,"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/artificial-intelligence","display_name":"Artificial intelligence","score":0.7426080703735352},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.6735230684280396},{"id":"https://openalex.org/keywords/similarity","display_name":"Similarity (geometry)","score":0.6324419975280762},{"id":"https://openalex.org/keywords/edge-detection","display_name":"Edge detection","score":0.6247676014900208},{"id":"https://openalex.org/keywords/computer-vision","display_name":"Computer vision","score":0.6144240498542786},{"id":"https://openalex.org/keywords/pattern-recognition","display_name":"Pattern recognition (psychology)","score":0.6065585017204285},{"id":"https://openalex.org/keywords/probabilistic-logic","display_name":"Probabilistic logic","score":0.595108151435852},{"id":"https://openalex.org/keywords/object-detection","display_name":"Object detection","score":0.5906904339790344},{"id":"https://openalex.org/keywords/object","display_name":"Object (grammar)","score":0.5872722268104553},{"id":"https://openalex.org/keywords/enhanced-data-rates-for-gsm-evolution","display_name":"Enhanced Data Rates for GSM Evolution","score":0.5752529501914978},{"id":"https://openalex.org/keywords/sequence","display_name":"Sequence (biology)","score":0.5335263609886169},{"id":"https://openalex.org/keywords/line","display_name":"Line (geometry)","score":0.4531288146972656},{"id":"https://openalex.org/keywords/line-segment","display_name":"Line segment","score":0.42862340807914734},{"id":"https://openalex.org/keywords/active-shape-model","display_name":"Active shape model","score":0.4256954789161682},{"id":"https://openalex.org/keywords/hidden-markov-model","display_name":"Hidden Markov model","score":0.41405317187309265},{"id":"https://openalex.org/keywords/image","display_name":"Image (mathematics)","score":0.29720693826675415},{"id":"https://openalex.org/keywords/mathematics","display_name":"Mathematics","score":0.28197991847991943},{"id":"https://openalex.org/keywords/image-processing","display_name":"Image processing","score":0.23839622735977173},{"id":"https://openalex.org/keywords/segmentation","display_name":"Segmentation","score":0.18829455971717834}],"concepts":[{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.7426080703735352},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.6735230684280396},{"id":"https://openalex.org/C103278499","wikidata":"https://www.wikidata.org/wiki/Q254465","display_name":"Similarity (geometry)","level":3,"score":0.6324419975280762},{"id":"https://openalex.org/C193536780","wikidata":"https://www.wikidata.org/wiki/Q1513153","display_name":"Edge detection","level":4,"score":0.6247676014900208},{"id":"https://openalex.org/C31972630","wikidata":"https://www.wikidata.org/wiki/Q844240","display_name":"Computer vision","level":1,"score":0.6144240498542786},{"id":"https://openalex.org/C153180895","wikidata":"https://www.wikidata.org/wiki/Q7148389","display_name":"Pattern recognition (psychology)","level":2,"score":0.6065585017204285},{"id":"https://openalex.org/C49937458","wikidata":"https://www.wikidata.org/wiki/Q2599292","display_name":"Probabilistic logic","level":2,"score":0.595108151435852},{"id":"https://openalex.org/C2776151529","wikidata":"https://www.wikidata.org/wiki/Q3045304","display_name":"Object detection","level":3,"score":0.5906904339790344},{"id":"https://openalex.org/C2781238097","wikidata":"https://www.wikidata.org/wiki/Q175026","display_name":"Object (grammar)","level":2,"score":0.5872722268104553},{"id":"https://openalex.org/C162307627","wikidata":"https://www.wikidata.org/wiki/Q204833","display_name":"Enhanced Data Rates for GSM Evolution","level":2,"score":0.5752529501914978},{"id":"https://openalex.org/C2778112365","wikidata":"https://www.wikidata.org/wiki/Q3511065","display_name":"Sequence (biology)","level":2,"score":0.5335263609886169},{"id":"https://openalex.org/C198352243","wikidata":"https://www.wikidata.org/wiki/Q37105","display_name":"Line (geometry)","level":2,"score":0.4531288146972656},{"id":"https://openalex.org/C182124507","wikidata":"https://www.wikidata.org/wiki/Q166154","display_name":"Line segment","level":2,"score":0.42862340807914734},{"id":"https://openalex.org/C129641003","wikidata":"https://www.wikidata.org/wiki/Q267189","display_name":"Active shape model","level":3,"score":0.4256954789161682},{"id":"https://openalex.org/C23224414","wikidata":"https://www.wikidata.org/wiki/Q176769","display_name":"Hidden Markov model","level":2,"score":0.41405317187309265},{"id":"https://openalex.org/C115961682","wikidata":"https://www.wikidata.org/wiki/Q860623","display_name":"Image (mathematics)","level":2,"score":0.29720693826675415},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.28197991847991943},{"id":"https://openalex.org/C9417928","wikidata":"https://www.wikidata.org/wiki/Q1070689","display_name":"Image processing","level":3,"score":0.23839622735977173},{"id":"https://openalex.org/C89600930","wikidata":"https://www.wikidata.org/wiki/Q1423946","display_name":"Segmentation","level":2,"score":0.18829455971717834},{"id":"https://openalex.org/C54355233","wikidata":"https://www.wikidata.org/wiki/Q7162","display_name":"Genetics","level":1,"score":0.0},{"id":"https://openalex.org/C2524010","wikidata":"https://www.wikidata.org/wiki/Q8087","display_name":"Geometry","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}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/icig.2013.43","is_oa":false,"landing_page_url":"https://doi.org/10.1109/icig.2013.43","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2013 Seventh International Conference on Image and Graphics","raw_type":"proceedings-article"}],"best_oa_location":null,"sustainable_development_goals":[{"display_name":"Reduced inequalities","score":0.6800000071525574,"id":"https://metadata.un.org/sdg/10"}],"awards":[],"funders":[],"has_content":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":12,"referenced_works":["https://openalex.org/W2031102306","https://openalex.org/W2086699924","https://openalex.org/W2106516230","https://openalex.org/W2108299137","https://openalex.org/W2117193984","https://openalex.org/W2117775864","https://openalex.org/W2125838338","https://openalex.org/W2141262001","https://openalex.org/W2143391928","https://openalex.org/W2148365475","https://openalex.org/W2149929544","https://openalex.org/W2154332114"],"related_works":["https://openalex.org/W2364370872","https://openalex.org/W2053269318","https://openalex.org/W2025614924","https://openalex.org/W2294335174","https://openalex.org/W2097963413","https://openalex.org/W1591475660","https://openalex.org/W2001275470","https://openalex.org/W3145575561","https://openalex.org/W2083850077","https://openalex.org/W122437686"],"abstract_inverted_index":{"This":[0,12,79],"paper":[1],"presents":[2],"a":[3,67,93,106],"new":[4],"method":[5,13,36],"for":[6,84],"object":[7,25,63],"detection":[8],"by":[9,66,110],"edge":[10,88],"grouping.":[11],"can":[14],"detect":[15,40],"the":[16,24,41,59,102,116,119,124,131,143,147],"boundaries":[17,47],"of":[18,61,133,146],"objects":[19,42],"under":[20],"complex":[21],"background":[22],"where":[23],"contours":[26],"are":[27,52],"partly":[28],"occluded":[29],"or":[30],"missing":[31],"during":[32],"contour":[33],"extraction.":[34],"Our":[35],"is":[37,64,82,90,112],"adapted":[38],"to":[39,114,130],"with":[43],"not":[44],"only":[45],"closed":[46],"but":[48],"also":[49],"open-boundaries.":[50],"There":[51],"three":[53],"contributions":[54],"in":[55,92],"this":[56,128],"work.":[57],"First,":[58],"shape":[60,80],"an":[62],"represented":[65],"novel":[68],"Turn":[69],"Angle":[70],"Probabilistic":[71],"Sequence":[72],"Model":[73],"(TAPSM)":[74],"which":[75,100],"originates":[76],"from":[77,136],"HMM.":[78],"model":[81],"robust":[83],"noisy":[85],"images.":[86],"Second,":[87],"grouping":[89],"defined":[91],"sequential":[94],"search":[95,103],"procedure":[96],"based":[97],"on":[98],"TAPSM,":[99],"reduces":[101],"complexity.":[104],"Third,":[105],"linear":[107],"discrimination":[108],"weighted":[109],"probabilities":[111],"developed":[113],"evaluate":[115],"similarity":[117],"between":[118],"detected":[120],"line":[121],"sequences":[122],"and":[123,139],"model.":[125],"We":[126],"employ":[127],"approach":[129],"problem":[132],"detecting":[134],"warships":[135],"satellite":[137],"imagery,":[138],"experimental":[140],"results":[141],"demonstrate":[142],"high":[144],"performance":[145],"proposed":[148],"method.":[149]},"counts_by_year":[{"year":2022,"cited_by_count":2}],"updated_date":"2025-11-06T03:46:38.306776","created_date":"2025-10-10T00:00:00"}