{"id":"https://openalex.org/W2079987897","doi":"https://doi.org/10.1109/ijcnn.2014.6889684","title":"A combined model for scan path in pedestrian searching","display_name":"A combined model for scan path in pedestrian searching","publication_year":2014,"publication_date":"2014-07-01","ids":{"openalex":"https://openalex.org/W2079987897","doi":"https://doi.org/10.1109/ijcnn.2014.6889684","mag":"2079987897"},"language":"en","primary_location":{"id":"doi:10.1109/ijcnn.2014.6889684","is_oa":false,"landing_page_url":"https://doi.org/10.1109/ijcnn.2014.6889684","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2014 International Joint Conference on Neural Networks (IJCNN)","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/A5109012701","display_name":"Lijuan Duan","orcid":null},"institutions":[{"id":"https://openalex.org/I37796252","display_name":"Beijing University of Technology","ror":"https://ror.org/037b1pp87","country_code":"CN","type":"education","lineage":["https://openalex.org/I37796252"]}],"countries":["CN"],"is_corresponding":true,"raw_author_name":"Lijuan Duan","raw_affiliation_strings":["College of Computer Science and Technology, Beijing University of Technology, China","College of Computer Science and Tech., Beijing Univ. of Tech., Beijing, China"],"affiliations":[{"raw_affiliation_string":"College of Computer Science and Technology, Beijing University of Technology, China","institution_ids":["https://openalex.org/I37796252"]},{"raw_affiliation_string":"College of Computer Science and Tech., Beijing Univ. of Tech., Beijing, China","institution_ids":["https://openalex.org/I37796252"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5038951631","display_name":"Zeming Zhao","orcid":"https://orcid.org/0009-0007-9869-5435"},"institutions":[{"id":"https://openalex.org/I37796252","display_name":"Beijing University of Technology","ror":"https://ror.org/037b1pp87","country_code":"CN","type":"education","lineage":["https://openalex.org/I37796252"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Zeming Zhao","raw_affiliation_strings":["College of Computer Science and Technology, Beijing University of Technology, China","College of Computer Science and Tech., Beijing Univ. of Tech., Beijing, China"],"affiliations":[{"raw_affiliation_string":"College of Computer Science and Technology, Beijing University of Technology, China","institution_ids":["https://openalex.org/I37796252"]},{"raw_affiliation_string":"College of Computer Science and Tech., Beijing Univ. of Tech., Beijing, China","institution_ids":["https://openalex.org/I37796252"]}]},{"author_position":"middle","author":{"id":null,"display_name":"Wei Ma","orcid":null},"institutions":[{"id":"https://openalex.org/I37796252","display_name":"Beijing University of Technology","ror":"https://ror.org/037b1pp87","country_code":"CN","type":"education","lineage":["https://openalex.org/I37796252"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Wei Ma","raw_affiliation_strings":["College of Computer Science and Technology, Beijing University of Technology, China","College of Computer Science and Tech., Beijing Univ. of Tech., Beijing, China"],"affiliations":[{"raw_affiliation_string":"College of Computer Science and Technology, Beijing University of Technology, China","institution_ids":["https://openalex.org/I37796252"]},{"raw_affiliation_string":"College of Computer Science and Tech., Beijing Univ. of Tech., Beijing, China","institution_ids":["https://openalex.org/I37796252"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5042907388","display_name":"Jili Gu","orcid":null},"institutions":[{"id":"https://openalex.org/I37796252","display_name":"Beijing University of Technology","ror":"https://ror.org/037b1pp87","country_code":"CN","type":"education","lineage":["https://openalex.org/I37796252"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Jili Gu","raw_affiliation_strings":["College of Computer Science and Technology, Beijing University of Technology, China","College of Computer Science and Tech., Beijing Univ. of Tech., Beijing, China"],"affiliations":[{"raw_affiliation_string":"College of Computer Science and Technology, Beijing University of Technology, China","institution_ids":["https://openalex.org/I37796252"]},{"raw_affiliation_string":"College of Computer Science and Tech., Beijing Univ. of Tech., Beijing, China","institution_ids":["https://openalex.org/I37796252"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5101558778","display_name":"Zhen Yang","orcid":"https://orcid.org/0000-0003-2487-1305"},"institutions":[{"id":"https://openalex.org/I37796252","display_name":"Beijing University of Technology","ror":"https://ror.org/037b1pp87","country_code":"CN","type":"education","lineage":["https://openalex.org/I37796252"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Zhen Yang","raw_affiliation_strings":["College of Computer Science and Technology, Beijing University of Technology, China","College of Computer Science and Tech., Beijing Univ. of Tech., Beijing, China"],"affiliations":[{"raw_affiliation_string":"College of Computer Science and Technology, Beijing University of Technology, China","institution_ids":["https://openalex.org/I37796252"]},{"raw_affiliation_string":"College of Computer Science and Tech., Beijing Univ. of Tech., Beijing, China","institution_ids":["https://openalex.org/I37796252"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5070035384","display_name":"Yuanhua Qiao","orcid":"https://orcid.org/0000-0001-9049-8452"},"institutions":[{"id":"https://openalex.org/I37796252","display_name":"Beijing University of Technology","ror":"https://ror.org/037b1pp87","country_code":"CN","type":"education","lineage":["https://openalex.org/I37796252"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Yuanhua Qiao","raw_affiliation_strings":["College of Applied Science, Beijing University of Technology, China","College of Applied Science, Beijing University of Technology, Beijing, China"],"affiliations":[{"raw_affiliation_string":"College of Applied Science, Beijing University of Technology, China","institution_ids":["https://openalex.org/I37796252"]},{"raw_affiliation_string":"College of Applied Science, Beijing University of Technology, Beijing, China","institution_ids":["https://openalex.org/I37796252"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":6,"corresponding_author_ids":["https://openalex.org/A5109012701"],"corresponding_institution_ids":["https://openalex.org/I37796252"],"apc_list":null,"apc_paid":null,"fwci":0.0,"has_fulltext":false,"cited_by_count":1,"citation_normalized_percentile":{"value":0.14019108,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":89,"max":94},"biblio":{"volume":"6468","issue":null,"first_page":"2156","last_page":"2161"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T11605","display_name":"Visual Attention and Saliency Detection","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/T11605","display_name":"Visual Attention and Saliency Detection","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":0.9983000159263611,"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/T10971","display_name":"Olfactory and Sensory Function Studies","score":0.9857000112533569,"subfield":{"id":"https://openalex.org/subfields/2809","display_name":"Sensory Systems"},"field":{"id":"https://openalex.org/fields/28","display_name":"Neuroscience"},"domain":{"id":"https://openalex.org/domains/1","display_name":"Life Sciences"}}],"keywords":[{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.7789618968963623},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.7149085998535156},{"id":"https://openalex.org/keywords/weighting","display_name":"Weighting","score":0.7058939337730408},{"id":"https://openalex.org/keywords/computer-vision","display_name":"Computer vision","score":0.6709545254707336},{"id":"https://openalex.org/keywords/visual-search","display_name":"Visual search","score":0.581852376461029},{"id":"https://openalex.org/keywords/fixation","display_name":"Fixation (population genetics)","score":0.5563631057739258},{"id":"https://openalex.org/keywords/context","display_name":"Context (archaeology)","score":0.5094013810157776},{"id":"https://openalex.org/keywords/path","display_name":"Path (computing)","score":0.48610901832580566},{"id":"https://openalex.org/keywords/factor","display_name":"Factor (programming language)","score":0.47452083230018616},{"id":"https://openalex.org/keywords/human-visual-system-model","display_name":"Human visual system model","score":0.4359990954399109},{"id":"https://openalex.org/keywords/pattern-recognition","display_name":"Pattern recognition (psychology)","score":0.3692759871482849},{"id":"https://openalex.org/keywords/image","display_name":"Image (mathematics)","score":0.25282084941864014}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.7789618968963623},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.7149085998535156},{"id":"https://openalex.org/C183115368","wikidata":"https://www.wikidata.org/wiki/Q856577","display_name":"Weighting","level":2,"score":0.7058939337730408},{"id":"https://openalex.org/C31972630","wikidata":"https://www.wikidata.org/wiki/Q844240","display_name":"Computer vision","level":1,"score":0.6709545254707336},{"id":"https://openalex.org/C158495155","wikidata":"https://www.wikidata.org/wiki/Q2369151","display_name":"Visual search","level":2,"score":0.581852376461029},{"id":"https://openalex.org/C146249460","wikidata":"https://www.wikidata.org/wiki/Q2914991","display_name":"Fixation (population genetics)","level":3,"score":0.5563631057739258},{"id":"https://openalex.org/C2779343474","wikidata":"https://www.wikidata.org/wiki/Q3109175","display_name":"Context (archaeology)","level":2,"score":0.5094013810157776},{"id":"https://openalex.org/C2777735758","wikidata":"https://www.wikidata.org/wiki/Q817765","display_name":"Path (computing)","level":2,"score":0.48610901832580566},{"id":"https://openalex.org/C2781039887","wikidata":"https://www.wikidata.org/wiki/Q1391724","display_name":"Factor (programming language)","level":2,"score":0.47452083230018616},{"id":"https://openalex.org/C160086991","wikidata":"https://www.wikidata.org/wiki/Q5939193","display_name":"Human visual system model","level":3,"score":0.4359990954399109},{"id":"https://openalex.org/C153180895","wikidata":"https://www.wikidata.org/wiki/Q7148389","display_name":"Pattern recognition (psychology)","level":2,"score":0.3692759871482849},{"id":"https://openalex.org/C115961682","wikidata":"https://www.wikidata.org/wiki/Q860623","display_name":"Image (mathematics)","level":2,"score":0.25282084941864014},{"id":"https://openalex.org/C144024400","wikidata":"https://www.wikidata.org/wiki/Q21201","display_name":"Sociology","level":0,"score":0.0},{"id":"https://openalex.org/C2908647359","wikidata":"https://www.wikidata.org/wiki/Q2625603","display_name":"Population","level":2,"score":0.0},{"id":"https://openalex.org/C149923435","wikidata":"https://www.wikidata.org/wiki/Q37732","display_name":"Demography","level":1,"score":0.0},{"id":"https://openalex.org/C199360897","wikidata":"https://www.wikidata.org/wiki/Q9143","display_name":"Programming language","level":1,"score":0.0},{"id":"https://openalex.org/C126838900","wikidata":"https://www.wikidata.org/wiki/Q77604","display_name":"Radiology","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/C151730666","wikidata":"https://www.wikidata.org/wiki/Q7205","display_name":"Paleontology","level":1,"score":0.0},{"id":"https://openalex.org/C71924100","wikidata":"https://www.wikidata.org/wiki/Q11190","display_name":"Medicine","level":0,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/ijcnn.2014.6889684","is_oa":false,"landing_page_url":"https://doi.org/10.1109/ijcnn.2014.6889684","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2014 International Joint Conference on Neural Networks (IJCNN)","raw_type":"proceedings-article"}],"best_oa_location":null,"sustainable_development_goals":[],"awards":[],"funders":[],"has_content":{"grobid_xml":false,"pdf":false},"content_urls":null,"referenced_works_count":24,"referenced_works":["https://openalex.org/W1497599070","https://openalex.org/W1510752747","https://openalex.org/W1566135517","https://openalex.org/W1989869076","https://openalex.org/W2025590659","https://openalex.org/W2033012377","https://openalex.org/W2036167211","https://openalex.org/W2054802006","https://openalex.org/W2073767010","https://openalex.org/W2082694050","https://openalex.org/W2091005670","https://openalex.org/W2106749629","https://openalex.org/W2106848651","https://openalex.org/W2116724443","https://openalex.org/W2128272608","https://openalex.org/W2138454898","https://openalex.org/W2144764737","https://openalex.org/W2149095485","https://openalex.org/W2153839765","https://openalex.org/W2157487943","https://openalex.org/W2160577607","https://openalex.org/W2161969291","https://openalex.org/W6629672220","https://openalex.org/W6630609802"],"related_works":["https://openalex.org/W2180954594","https://openalex.org/W2052835778","https://openalex.org/W2049003611","https://openalex.org/W2127804977","https://openalex.org/W2108418243","https://openalex.org/W164103134","https://openalex.org/W2040545019","https://openalex.org/W2787352659","https://openalex.org/W1970611213","https://openalex.org/W4206560911"],"abstract_inverted_index":{"Target":[0],"searching,":[1,70],"i.e.":[2],"fast":[3],"locating":[4],"target":[5,31,72,152,163],"objects":[6],"in":[7,15,58,103],"images":[8],"or":[9],"videos,":[10],"has":[11],"attracted":[12],"much":[13],"attention":[14],"computer":[16,35,51],"vision.":[17],"A":[18],"comprehensive":[19],"understanding":[20],"of":[21,83,119,130,134,145,162,176],"factors":[22,66,121,136,179],"influencing":[23,67,159],"human":[24,68,96,205],"visual":[25,78,170],"searching":[26,32],"is":[27,87,110,154],"essential":[28],"to":[29,46,53,55,100,113,203],"design":[30],"algorithms":[33],"for":[34,50],"vision":[36,52,69,97,206],"systems.":[37],"In":[38,125],"this":[39],"paper,":[40],"we":[41,147],"propose":[42],"a":[43],"combined":[44,85],"model":[45,61,86,195],"generate":[47],"scan":[48,93,189],"paths":[49,94,190],"follow":[54],"search":[56],"targets":[57,102],"images.":[59,106],"The":[60,81,107,165,188],"explores":[62],"and":[63,76,137],"integrates":[64],"three":[65,178],"top-down":[71,151],"information,":[73],"spatial":[74],"context":[75],"bottom-up":[77,169],"saliency,":[79],"respectively.":[80],"effectiveness":[82],"the":[84,91,104,115,120,126,128,135,150,155,160,168,177,193,204],"evaluated":[88],"by":[89,192],"comparing":[90],"generated":[92],"with":[95],"fixation":[98,207],"sequences":[99],"locate":[101],"same":[105],"evaluation":[108],"strategy":[109],"also":[111],"used":[112],"learn":[114],"optimal":[116],"weighting":[117],"coefficients":[118],"through":[122],"linear":[123],"search.":[124],"meanwhile,":[127],"performances":[129,182],"every":[131],"single":[132,185],"one":[133],"their":[138],"arbitrary":[139],"combinations":[140,175],"are":[141,172,196,200],"examined.":[142],"Through":[143],"plenty":[144],"experiments,":[146],"prove":[148],"that":[149],"information":[153],"most":[156,201],"important":[157],"factor":[158],"accuracy":[161],"searching.":[164],"effects":[166],"from":[167],"saliency":[171],"limited.":[173],"Any":[174],"have":[180],"better":[181],"than":[183],"each":[184],"component":[186],"factor.":[187],"obtained":[191],"proposed":[194],"optimal,":[197],"since":[198],"they":[199],"similar":[202],"sequences.":[208]},"counts_by_year":[{"year":2020,"cited_by_count":1}],"updated_date":"2026-04-21T08:09:41.155169","created_date":"2025-10-10T00:00:00"}
