{"id":"https://openalex.org/W4229749991","doi":"https://doi.org/10.1109/iccp53602.2021.9733650","title":"Pose Based Pedestrian Street Cross Action Recognition in Infrared Images","display_name":"Pose Based Pedestrian Street Cross Action Recognition in Infrared Images","publication_year":2021,"publication_date":"2021-10-28","ids":{"openalex":"https://openalex.org/W4229749991","doi":"https://doi.org/10.1109/iccp53602.2021.9733650"},"language":"en","primary_location":{"id":"doi:10.1109/iccp53602.2021.9733650","is_oa":false,"landing_page_url":"https://doi.org/10.1109/iccp53602.2021.9733650","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2021 IEEE 17th International Conference on Intelligent Computer Communication and Processing (ICCP)","raw_type":"proceedings-article"},"type":"conference-paper","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/A5047081027","display_name":"Raluca Brehar","orcid":"https://orcid.org/0000-0003-0978-7826"},"institutions":[{"id":"https://openalex.org/I158333966","display_name":"Technical University of Cluj-Napoca","ror":"https://ror.org/03r8nwp71","country_code":"RO","type":"education","lineage":["https://openalex.org/I158333966"]},{"id":"https://openalex.org/I4210156583","display_name":"Laboratoire d'Informatique de Paris-Nord","ror":"https://ror.org/05g1zjw44","country_code":"FR","type":"facility","lineage":["https://openalex.org/I1294671590","https://openalex.org/I1294671590","https://openalex.org/I4210091279","https://openalex.org/I4210156583","https://openalex.org/I4210159245"]}],"countries":["FR","RO"],"is_corresponding":false,"raw_author_name":"Raluca Didona Brehar","raw_affiliation_strings":["Technical University of Cluj-Napoca,Computer Science Department"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Technical University of Cluj-Napoca,Computer Science Department","institution_ids":["https://openalex.org/I158333966","https://openalex.org/I4210156583"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5104038980","display_name":"Cristian Cosmin Vancea","orcid":null},"institutions":[{"id":"https://openalex.org/I158333966","display_name":"Technical University of Cluj-Napoca","ror":"https://ror.org/03r8nwp71","country_code":"RO","type":"education","lineage":["https://openalex.org/I158333966"]},{"id":"https://openalex.org/I4210156583","display_name":"Laboratoire d'Informatique de Paris-Nord","ror":"https://ror.org/05g1zjw44","country_code":"FR","type":"facility","lineage":["https://openalex.org/I1294671590","https://openalex.org/I1294671590","https://openalex.org/I4210091279","https://openalex.org/I4210156583","https://openalex.org/I4210159245"]}],"countries":["FR","RO"],"is_corresponding":false,"raw_author_name":"Cristian Cosmin Vancea","raw_affiliation_strings":["Technical University of Cluj-Napoca,Computer Science Department"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Technical University of Cluj-Napoca,Computer Science Department","institution_ids":["https://openalex.org/I158333966","https://openalex.org/I4210156583"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5031091271","display_name":"Mircea Paul Muresan","orcid":"https://orcid.org/0000-0003-0315-3507"},"institutions":[{"id":"https://openalex.org/I158333966","display_name":"Technical University of Cluj-Napoca","ror":"https://ror.org/03r8nwp71","country_code":"RO","type":"education","lineage":["https://openalex.org/I158333966"]},{"id":"https://openalex.org/I4210156583","display_name":"Laboratoire d'Informatique de Paris-Nord","ror":"https://ror.org/05g1zjw44","country_code":"FR","type":"facility","lineage":["https://openalex.org/I1294671590","https://openalex.org/I1294671590","https://openalex.org/I4210091279","https://openalex.org/I4210156583","https://openalex.org/I4210159245"]}],"countries":["FR","RO"],"is_corresponding":false,"raw_author_name":"Mircea Paul Muresan","raw_affiliation_strings":["Technical University of Cluj-Napoca,Computer Science Department"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Technical University of Cluj-Napoca,Computer Science Department","institution_ids":["https://openalex.org/I158333966","https://openalex.org/I4210156583"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5047954457","display_name":"Sergiu Nedevschi","orcid":"https://orcid.org/0000-0003-2018-4647"},"institutions":[{"id":"https://openalex.org/I158333966","display_name":"Technical University of Cluj-Napoca","ror":"https://ror.org/03r8nwp71","country_code":"RO","type":"education","lineage":["https://openalex.org/I158333966"]},{"id":"https://openalex.org/I4210156583","display_name":"Laboratoire d'Informatique de Paris-Nord","ror":"https://ror.org/05g1zjw44","country_code":"FR","type":"facility","lineage":["https://openalex.org/I1294671590","https://openalex.org/I1294671590","https://openalex.org/I4210091279","https://openalex.org/I4210156583","https://openalex.org/I4210159245"]}],"countries":["FR","RO"],"is_corresponding":false,"raw_author_name":"Sergiu Nedevschi","raw_affiliation_strings":["Technical University of Cluj-Napoca,Computer Science Department"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Technical University of Cluj-Napoca,Computer Science Department","institution_ids":["https://openalex.org/I158333966","https://openalex.org/I4210156583"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5014747694","display_name":"Radu D\u0103nescu","orcid":"https://orcid.org/0000-0002-4515-8114"},"institutions":[{"id":"https://openalex.org/I158333966","display_name":"Technical University of Cluj-Napoca","ror":"https://ror.org/03r8nwp71","country_code":"RO","type":"education","lineage":["https://openalex.org/I158333966"]},{"id":"https://openalex.org/I4210156583","display_name":"Laboratoire d'Informatique de Paris-Nord","ror":"https://ror.org/05g1zjw44","country_code":"FR","type":"facility","lineage":["https://openalex.org/I1294671590","https://openalex.org/I1294671590","https://openalex.org/I4210091279","https://openalex.org/I4210156583","https://openalex.org/I4210159245"]}],"countries":["FR","RO"],"is_corresponding":false,"raw_author_name":"Radu Danescu","raw_affiliation_strings":["Technical University of Cluj-Napoca,Computer Science Department"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Technical University of Cluj-Napoca,Computer Science Department","institution_ids":["https://openalex.org/I158333966","https://openalex.org/I4210156583"]}]}],"institutions":[],"countries_distinct_count":2,"institutions_distinct_count":2,"corresponding_author_ids":[],"corresponding_institution_ids":[],"apc_list":null,"apc_paid":null,"fwci":null,"has_fulltext":false,"cited_by_count":1,"citation_normalized_percentile":null,"cited_by_percentile_year":null,"biblio":{"volume":null,"issue":null,"first_page":"41","last_page":"46"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10331","display_name":"Video Surveillance and Tracking Methods","score":0.9990000128746033,"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":0.9990000128746033,"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/T10036","display_name":"Advanced Neural Network Applications","score":0.9976000189781189,"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":0.9973000288009644,"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/pedestrian","display_name":"Pedestrian","score":0.811619758605957},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.7696713209152222},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.7345955967903137},{"id":"https://openalex.org/keywords/segmentation","display_name":"Segmentation","score":0.7071053385734558},{"id":"https://openalex.org/keywords/pedestrian-detection","display_name":"Pedestrian detection","score":0.6868999004364014},{"id":"https://openalex.org/keywords/computer-vision","display_name":"Computer vision","score":0.6327655911445618},{"id":"https://openalex.org/keywords/context","display_name":"Context (archaeology)","score":0.5894313454627991},{"id":"https://openalex.org/keywords/pattern-recognition","display_name":"Pattern recognition (psychology)","score":0.4813293218612671},{"id":"https://openalex.org/keywords/pedestrian-crossing","display_name":"Pedestrian crossing","score":0.44839632511138916},{"id":"https://openalex.org/keywords/geography","display_name":"Geography","score":0.11276483535766602}],"concepts":[{"id":"https://openalex.org/C2777113093","wikidata":"https://www.wikidata.org/wiki/Q221488","display_name":"Pedestrian","level":2,"score":0.811619758605957},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.7696713209152222},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.7345955967903137},{"id":"https://openalex.org/C89600930","wikidata":"https://www.wikidata.org/wiki/Q1423946","display_name":"Segmentation","level":2,"score":0.7071053385734558},{"id":"https://openalex.org/C2780156472","wikidata":"https://www.wikidata.org/wiki/Q2355550","display_name":"Pedestrian detection","level":3,"score":0.6868999004364014},{"id":"https://openalex.org/C31972630","wikidata":"https://www.wikidata.org/wiki/Q844240","display_name":"Computer vision","level":1,"score":0.6327655911445618},{"id":"https://openalex.org/C2779343474","wikidata":"https://www.wikidata.org/wiki/Q3109175","display_name":"Context (archaeology)","level":2,"score":0.5894313454627991},{"id":"https://openalex.org/C153180895","wikidata":"https://www.wikidata.org/wiki/Q7148389","display_name":"Pattern recognition (psychology)","level":2,"score":0.4813293218612671},{"id":"https://openalex.org/C2777819797","wikidata":"https://www.wikidata.org/wiki/Q8010","display_name":"Pedestrian crossing","level":3,"score":0.44839632511138916},{"id":"https://openalex.org/C205649164","wikidata":"https://www.wikidata.org/wiki/Q1071","display_name":"Geography","level":0,"score":0.11276483535766602},{"id":"https://openalex.org/C166957645","wikidata":"https://www.wikidata.org/wiki/Q23498","display_name":"Archaeology","level":1,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/iccp53602.2021.9733650","is_oa":false,"landing_page_url":"https://doi.org/10.1109/iccp53602.2021.9733650","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2021 IEEE 17th International Conference on Intelligent Computer Communication and Processing (ICCP)","raw_type":"proceedings-article"}],"best_oa_location":null,"sustainable_development_goals":[{"score":0.7200000286102295,"id":"https://metadata.un.org/sdg/11","display_name":"Sustainable cities and communities"}],"awards":[],"funders":[{"id":"https://openalex.org/F4320311687","display_name":"Ministry of Education","ror":"https://ror.org/03m01yf64"}],"has_content":{"grobid_xml":false,"pdf":false},"content_urls":null,"referenced_works_count":31,"referenced_works":["https://openalex.org/W1901129140","https://openalex.org/W2064675550","https://openalex.org/W2222512263","https://openalex.org/W2286744228","https://openalex.org/W2395611524","https://openalex.org/W2560023338","https://openalex.org/W2758850938","https://openalex.org/W2771583656","https://openalex.org/W2962954622","https://openalex.org/W2963708869","https://openalex.org/W2963781481","https://openalex.org/W2980439114","https://openalex.org/W2991484432","https://openalex.org/W3000141390","https://openalex.org/W3009131247","https://openalex.org/W3119361198","https://openalex.org/W3131031062","https://openalex.org/W3162318169","https://openalex.org/W3190699669","https://openalex.org/W4287778673","https://openalex.org/W4287802104","https://openalex.org/W4299978048","https://openalex.org/W6711868289","https://openalex.org/W6730565506","https://openalex.org/W6730734845","https://openalex.org/W6748370023","https://openalex.org/W6756215566","https://openalex.org/W6760447640","https://openalex.org/W6769136004","https://openalex.org/W6776598532","https://openalex.org/W6777617355"],"related_works":["https://openalex.org/W2972620127","https://openalex.org/W187110833","https://openalex.org/W2981141433","https://openalex.org/W2905794575","https://openalex.org/W122740207","https://openalex.org/W4388221821","https://openalex.org/W650967530","https://openalex.org/W4390813505","https://openalex.org/W1969216335","https://openalex.org/W1486225309"],"abstract_inverted_index":{"In":[0],"the":[1,23,26,32,36,39,71,75,78,87,107,125,141,145,164,168,183],"context":[2,96,179],"of":[3,25,38,70,77,89,106,144,167],"a":[4,46,112,120,189,200],"traffic":[5],"scenario":[6],"captured":[7,58],"during":[8,60,64],"night":[9,61],"with":[10,29,93,119,177],"infrared":[11,56,115,171],"cameras":[12],"we":[13,21],"focus":[14],"on":[15,35,134,203],"pedestrian":[16,27,51,81,90,116,146],"street":[17],"cross":[18,52,192],"action":[19,40,53,82,193],"and":[20,155,186],"study":[22,76],"influence":[24],"pose":[28,130],"respect":[30],"to":[31,139,162,188],"road":[33,95,169,178],"environment":[34],"accuracy":[37,84,202],"recognition":[41,54,83,194],"model.":[42],"This":[43],"paper":[44,72],"presents":[45],"complete":[47],"framework":[48,109],"that":[49,123],"performs":[50],"for":[55],"sequences":[57],"mainly":[59],"but":[62],"also":[63],"day":[65],"time.":[66],"The":[67,103,196],"main":[68,104],"contribution":[69],"resides":[73],"in":[74,80,111,137,160,170],"variation":[79],"provided":[85,181],"by":[86,99,182],"combination":[88],"pose-based":[91],"features":[92,97,174,180],"several":[94],"given":[98],"semantic":[100,149,165,184],"segmentation":[101,150,166,185],"networks.":[102],"modules":[105],"proposed":[108],"consist":[110],"YOLO":[113],"based":[114,129,191],"detector":[117],"combined":[118,176],"tracking":[121],"algorithm":[122],"enhances":[124],"detections.":[126],"A":[127],"CNN":[128],"estimator":[131],"is":[132],"applied":[133],"detected":[135],"pedestrians":[136],"order":[138,161],"extract":[140],"relevant":[142],"keypoints":[143],"skeleton.":[147],"Several":[148],"networks":[151],"like":[152],"U-Net,":[153],"FCN":[154],"PSPNet":[156],"have":[157],"been":[158],"adapted":[159],"perform":[163],"images.":[172],"Pose":[173],"are":[175],"input":[187],"LSTM":[190],"network.":[195],"obtained":[197],"results":[198],"provide":[199],"90%":[201],"CROSSIR":[204],"dataset.":[205]},"counts_by_year":[{"year":2024,"cited_by_count":1}],"updated_date":"2026-07-15T18:14:33.161393","created_date":"2025-10-10T00:00:00"}
