{"id":"https://openalex.org/W4376852244","doi":"https://doi.org/10.1145/3573942.3574069","title":"A Novel Spatiotemporal Attention Convolutional Neural Network for Video Crowd Counting","display_name":"A Novel Spatiotemporal Attention Convolutional Neural Network for Video Crowd Counting","publication_year":2022,"publication_date":"2022-09-23","ids":{"openalex":"https://openalex.org/W4376852244","doi":"https://doi.org/10.1145/3573942.3574069"},"language":"en","primary_location":{"id":"doi:10.1145/3573942.3574069","is_oa":false,"landing_page_url":"http://dx.doi.org/10.1145/3573942.3574069","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Proceedings of the 2022 5th International Conference on Artificial Intelligence and Pattern Recognition","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/A5064018344","display_name":"Shangjie Zhang","orcid":"https://orcid.org/0000-0002-4037-917X"},"institutions":[{"id":"https://openalex.org/I4210136859","display_name":"Xi\u2019an University of Posts and Telecommunications","ror":"https://ror.org/04jn0td46","country_code":"CN","type":"education","lineage":["https://openalex.org/I4210136859"]}],"countries":["CN"],"is_corresponding":true,"raw_author_name":"Shangjie Zhang","raw_affiliation_strings":["School of Computer, Xi'an University of Post and Telecommunications, China"],"raw_orcid":"https://orcid.org/0000-0002-4037-917X","affiliations":[{"raw_affiliation_string":"School of Computer, Xi'an University of Post and Telecommunications, China","institution_ids":["https://openalex.org/I4210136859"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5076911583","display_name":"Yuelei Xiao","orcid":"https://orcid.org/0000-0001-9516-1947"},"institutions":[{"id":"https://openalex.org/I4210136859","display_name":"Xi\u2019an University of Posts and Telecommunications","ror":"https://ror.org/04jn0td46","country_code":"CN","type":"education","lineage":["https://openalex.org/I4210136859"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Yuelei Xiao","raw_affiliation_strings":["School of Modern Posts, Xi'an University of Post and Telecommunications, China and \rShaanxi Provincial Information Engineering Research Institute, China"],"raw_orcid":"https://orcid.org/0000-0001-9516-1947","affiliations":[{"raw_affiliation_string":"School of Modern Posts, Xi'an University of Post and Telecommunications, China and \rShaanxi Provincial Information Engineering Research Institute, China","institution_ids":["https://openalex.org/I4210136859"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":2,"corresponding_author_ids":["https://openalex.org/A5064018344"],"corresponding_institution_ids":["https://openalex.org/I4210136859"],"apc_list":null,"apc_paid":null,"fwci":0.0,"has_fulltext":false,"cited_by_count":0,"citation_normalized_percentile":{"value":0.17181848,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":null,"biblio":{"volume":null,"issue":null,"first_page":"607","last_page":"614"},"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/T12597","display_name":"Fire Detection and Safety Systems","score":0.9979000091552734,"subfield":{"id":"https://openalex.org/subfields/2213","display_name":"Safety, Risk, Reliability and Quality"},"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/T11512","display_name":"Anomaly Detection Techniques and Applications","score":0.9973999857902527,"subfield":{"id":"https://openalex.org/subfields/1702","display_name":"Artificial Intelligence"},"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":0.837604820728302},{"id":"https://openalex.org/keywords/convolutional-neural-network","display_name":"Convolutional neural network","score":0.7814534902572632},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.6519328951835632},{"id":"https://openalex.org/keywords/block","display_name":"Block (permutation group theory)","score":0.5733886957168579},{"id":"https://openalex.org/keywords/feature","display_name":"Feature (linguistics)","score":0.5652781128883362},{"id":"https://openalex.org/keywords/pattern-recognition","display_name":"Pattern recognition (psychology)","score":0.5586820840835571},{"id":"https://openalex.org/keywords/layer","display_name":"Layer (electronics)","score":0.46653395891189575},{"id":"https://openalex.org/keywords/feature-extraction","display_name":"Feature extraction","score":0.46595248579978943},{"id":"https://openalex.org/keywords/counting-problem","display_name":"Counting problem","score":0.45018306374549866},{"id":"https://openalex.org/keywords/field","display_name":"Field (mathematics)","score":0.43776974081993103},{"id":"https://openalex.org/keywords/computer-vision","display_name":"Computer vision","score":0.40787434577941895},{"id":"https://openalex.org/keywords/data-mining","display_name":"Data mining","score":0.32327932119369507},{"id":"https://openalex.org/keywords/algorithm","display_name":"Algorithm","score":0.14204064011573792},{"id":"https://openalex.org/keywords/mathematics","display_name":"Mathematics","score":0.08238950371742249}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.837604820728302},{"id":"https://openalex.org/C81363708","wikidata":"https://www.wikidata.org/wiki/Q17084460","display_name":"Convolutional neural network","level":2,"score":0.7814534902572632},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.6519328951835632},{"id":"https://openalex.org/C2777210771","wikidata":"https://www.wikidata.org/wiki/Q4927124","display_name":"Block (permutation group theory)","level":2,"score":0.5733886957168579},{"id":"https://openalex.org/C2776401178","wikidata":"https://www.wikidata.org/wiki/Q12050496","display_name":"Feature (linguistics)","level":2,"score":0.5652781128883362},{"id":"https://openalex.org/C153180895","wikidata":"https://www.wikidata.org/wiki/Q7148389","display_name":"Pattern recognition (psychology)","level":2,"score":0.5586820840835571},{"id":"https://openalex.org/C2779227376","wikidata":"https://www.wikidata.org/wiki/Q6505497","display_name":"Layer (electronics)","level":2,"score":0.46653395891189575},{"id":"https://openalex.org/C52622490","wikidata":"https://www.wikidata.org/wiki/Q1026626","display_name":"Feature extraction","level":2,"score":0.46595248579978943},{"id":"https://openalex.org/C16592021","wikidata":"https://www.wikidata.org/wiki/Q5177154","display_name":"Counting problem","level":2,"score":0.45018306374549866},{"id":"https://openalex.org/C9652623","wikidata":"https://www.wikidata.org/wiki/Q190109","display_name":"Field (mathematics)","level":2,"score":0.43776974081993103},{"id":"https://openalex.org/C31972630","wikidata":"https://www.wikidata.org/wiki/Q844240","display_name":"Computer vision","level":1,"score":0.40787434577941895},{"id":"https://openalex.org/C124101348","wikidata":"https://www.wikidata.org/wiki/Q172491","display_name":"Data mining","level":1,"score":0.32327932119369507},{"id":"https://openalex.org/C11413529","wikidata":"https://www.wikidata.org/wiki/Q8366","display_name":"Algorithm","level":1,"score":0.14204064011573792},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.08238950371742249},{"id":"https://openalex.org/C185592680","wikidata":"https://www.wikidata.org/wiki/Q2329","display_name":"Chemistry","level":0,"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/C2524010","wikidata":"https://www.wikidata.org/wiki/Q8087","display_name":"Geometry","level":1,"score":0.0},{"id":"https://openalex.org/C178790620","wikidata":"https://www.wikidata.org/wiki/Q11351","display_name":"Organic chemistry","level":1,"score":0.0},{"id":"https://openalex.org/C202444582","wikidata":"https://www.wikidata.org/wiki/Q837863","display_name":"Pure mathematics","level":1,"score":0.0},{"id":"https://openalex.org/C41895202","wikidata":"https://www.wikidata.org/wiki/Q8162","display_name":"Linguistics","level":1,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1145/3573942.3574069","is_oa":false,"landing_page_url":"http://dx.doi.org/10.1145/3573942.3574069","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Proceedings of the 2022 5th International Conference on Artificial Intelligence and Pattern Recognition","raw_type":"proceedings-article"}],"best_oa_location":null,"sustainable_development_goals":[],"awards":[{"id":"https://openalex.org/G1753455148","display_name":null,"funder_award_id":"(No.2016KTTSGY01-03","funder_id":"https://openalex.org/F4320336571","funder_display_name":"Shaanxi Science and Technology Co-ordination and Innovation Project of China"}],"funders":[{"id":"https://openalex.org/F4320336571","display_name":"Shaanxi Science and Technology Co-ordination and Innovation Project of China","ror":null}],"has_content":{"grobid_xml":false,"pdf":false},"content_urls":null,"referenced_works_count":30,"referenced_works":["https://openalex.org/W1554187497","https://openalex.org/W1910776219","https://openalex.org/W1976959044","https://openalex.org/W2075875861","https://openalex.org/W2125337786","https://openalex.org/W2147221461","https://openalex.org/W2155916750","https://openalex.org/W2161969291","https://openalex.org/W2169671170","https://openalex.org/W2207893099","https://openalex.org/W2294187070","https://openalex.org/W2321408197","https://openalex.org/W2343818649","https://openalex.org/W2463631526","https://openalex.org/W2884585870","https://openalex.org/W2901694823","https://openalex.org/W2962835968","https://openalex.org/W2964018834","https://openalex.org/W2964209782","https://openalex.org/W2964721919","https://openalex.org/W2992252352","https://openalex.org/W3022823568","https://openalex.org/W3034785991","https://openalex.org/W3089443962","https://openalex.org/W3097096317","https://openalex.org/W3102751229","https://openalex.org/W3120524222","https://openalex.org/W3132588545","https://openalex.org/W3186674029","https://openalex.org/W6681368121"],"related_works":["https://openalex.org/W4293226380","https://openalex.org/W4321487865","https://openalex.org/W4313906399","https://openalex.org/W4391266461","https://openalex.org/W2590798552","https://openalex.org/W2811106690","https://openalex.org/W4239306820","https://openalex.org/W2947043951","https://openalex.org/W4399188509","https://openalex.org/W4312417841"],"abstract_inverted_index":{"For":[0],"most":[1],"existing":[2,147],"crowd":[3,12,38,139,148],"counting":[4,13,39,140,149],"methods,":[5],"image-based":[6],"methods":[7],"are":[8,48,75],"still":[9],"used":[10,49,76],"for":[11],"in":[14,109],"the":[15,36,42,51,64,79,84,96,110,121,131,136,145],"presence":[16],"of":[17,46,61,67,99,138],"video":[18],"datasets,":[19],"ignoring":[20],"powerful":[21],"time":[22,65],"information.":[23],"Thus,":[24],"a":[25,58,88],"novel":[26],"spatiotemporal":[27],"attention":[28,91],"convolutional":[29,73,89],"neural":[30],"network":[31,53],"is":[32,93,142],"proposed":[33,132],"to":[34,54,77,104,144],"solve":[35],"video-based":[37],"problem.":[40],"Firstly,":[41],"first":[43],"ten":[44],"layers":[45,74],"VGG-16":[47],"as":[50],"backbone":[52],"extract":[55],"features,":[56],"and":[57,112,127,141],"single":[59],"layer":[60],"ConvLSTM":[62],"captures":[63],"correlation":[66],"adjacent":[68],"frames.":[69],"Then,":[70],"stacked":[71],"dilated":[72],"enlarge":[78],"receptive":[80],"field":[81],"without":[82],"increasing":[83],"computational":[85],"load.":[86],"Finally,":[87],"block":[90],"module":[92],"introduced":[94],"with":[95],"adaptive":[97],"refinement":[98],"feature":[100],"mapping.":[101],"Its":[102],"ability":[103],"emphasize":[105],"or":[106],"suppress":[107],"information":[108,116],"channel":[111],"spatial":[113],"dimensions":[114],"aids":[115],"dissemination.":[117],"Experimental":[118],"results":[119],"on":[120],"two":[122],"reference":[123],"datasets":[124],"(i.e.,":[125],"Mall":[126],"WorldExpo'10)":[128],"show":[129],"that":[130],"method":[133],"further":[134],"improves":[135],"accuracy":[137],"superior":[143],"other":[146],"methods.":[150]},"counts_by_year":[],"updated_date":"2026-03-27T05:58:40.876381","created_date":"2025-10-10T00:00:00"}
