{"id":"https://openalex.org/W2516118128","doi":"https://doi.org/10.1109/icme.2016.7552920","title":"Memory-based object detection in surveillance scenes","display_name":"Memory-based object detection in surveillance scenes","publication_year":2016,"publication_date":"2016-07-01","ids":{"openalex":"https://openalex.org/W2516118128","doi":"https://doi.org/10.1109/icme.2016.7552920","mag":"2516118128"},"language":"en","primary_location":{"id":"doi:10.1109/icme.2016.7552920","is_oa":false,"landing_page_url":"https://doi.org/10.1109/icme.2016.7552920","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2016 IEEE International Conference on Multimedia and Expo (ICME)","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/A5100354485","display_name":"Xudong Li","orcid":"https://orcid.org/0000-0001-8246-3663"},"institutions":[{"id":"https://openalex.org/I150229711","display_name":"University of Electronic Science and Technology of China","ror":"https://ror.org/04qr3zq92","country_code":"CN","type":"education","lineage":["https://openalex.org/I150229711"]}],"countries":["CN"],"is_corresponding":true,"raw_author_name":"Xudong Li","raw_affiliation_strings":["School of Computer Science and Engineering, University of Electronic Science and Technology of China, Chengdu, P.R. China"],"affiliations":[{"raw_affiliation_string":"School of Computer Science and Engineering, University of Electronic Science and Technology of China, Chengdu, P.R. China","institution_ids":["https://openalex.org/I150229711"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5100682790","display_name":"Mao Ye","orcid":"https://orcid.org/0000-0003-4760-8702"},"institutions":[{"id":"https://openalex.org/I150229711","display_name":"University of Electronic Science and Technology of China","ror":"https://ror.org/04qr3zq92","country_code":"CN","type":"education","lineage":["https://openalex.org/I150229711"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Mao Ye","raw_affiliation_strings":["School of Computer Science and Engineering, University of Electronic Science and Technology of China, Chengdu, P.R. China"],"affiliations":[{"raw_affiliation_string":"School of Computer Science and Engineering, University of Electronic Science and Technology of China, Chengdu, P.R. China","institution_ids":["https://openalex.org/I150229711"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5064809639","display_name":"Dan Liu","orcid":"https://orcid.org/0000-0002-0425-8039"},"institutions":[{"id":"https://openalex.org/I150229711","display_name":"University of Electronic Science and Technology of China","ror":"https://ror.org/04qr3zq92","country_code":"CN","type":"education","lineage":["https://openalex.org/I150229711"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Dan Liu","raw_affiliation_strings":["School of Computer Science and Engineering, University of Electronic Science and Technology of China, Chengdu, P.R. China"],"affiliations":[{"raw_affiliation_string":"School of Computer Science and Engineering, University of Electronic Science and Technology of China, Chengdu, P.R. China","institution_ids":["https://openalex.org/I150229711"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5100401285","display_name":"Feng Zhang","orcid":"https://orcid.org/0000-0002-7995-918X"},"institutions":[{"id":"https://openalex.org/I150229711","display_name":"University of Electronic Science and Technology of China","ror":"https://ror.org/04qr3zq92","country_code":"CN","type":"education","lineage":["https://openalex.org/I150229711"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Feng Zhang","raw_affiliation_strings":["School of Computer Science and Engineering, University of Electronic Science and Technology of China, Chengdu, P.R. China"],"affiliations":[{"raw_affiliation_string":"School of Computer Science and Engineering, University of Electronic Science and Technology of China, Chengdu, P.R. China","institution_ids":["https://openalex.org/I150229711"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5035419332","display_name":"Song Tang","orcid":"https://orcid.org/0000-0003-2635-1872"},"institutions":[{"id":"https://openalex.org/I150229711","display_name":"University of Electronic Science and Technology of China","ror":"https://ror.org/04qr3zq92","country_code":"CN","type":"education","lineage":["https://openalex.org/I150229711"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Song Tang","raw_affiliation_strings":["School of Computer Science and Engineering, University of Electronic Science and Technology of China, Chengdu, P.R. China"],"affiliations":[{"raw_affiliation_string":"School of Computer Science and Engineering, University of Electronic Science and Technology of China, Chengdu, P.R. China","institution_ids":["https://openalex.org/I150229711"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":5,"corresponding_author_ids":["https://openalex.org/A5100354485"],"corresponding_institution_ids":["https://openalex.org/I150229711"],"apc_list":null,"apc_paid":null,"fwci":0.334,"has_fulltext":false,"cited_by_count":5,"citation_normalized_percentile":{"value":0.6617494,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":89,"max":96},"biblio":{"volume":"20","issue":null,"first_page":"1","last_page":"6"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10331","display_name":"Video Surveillance and Tracking Methods","score":0.9998999834060669,"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/T10331","display_name":"Video Surveillance and Tracking Methods","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":0.9990000128746033,"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/T10812","display_name":"Human Pose and Action Recognition","score":0.995199978351593,"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":0.8378732204437256},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.757546603679657},{"id":"https://openalex.org/keywords/memorization","display_name":"Memorization","score":0.6846407651901245},{"id":"https://openalex.org/keywords/object-detection","display_name":"Object detection","score":0.6427513360977173},{"id":"https://openalex.org/keywords/object","display_name":"Object (grammar)","score":0.6389120817184448},{"id":"https://openalex.org/keywords/sequence","display_name":"Sequence (biology)","score":0.5887417793273926},{"id":"https://openalex.org/keywords/convolutional-neural-network","display_name":"Convolutional neural network","score":0.5787339210510254},{"id":"https://openalex.org/keywords/feature","display_name":"Feature (linguistics)","score":0.5527653098106384},{"id":"https://openalex.org/keywords/pattern-recognition","display_name":"Pattern recognition (psychology)","score":0.49106311798095703},{"id":"https://openalex.org/keywords/window","display_name":"Window (computing)","score":0.48236316442489624},{"id":"https://openalex.org/keywords/deep-learning","display_name":"Deep learning","score":0.459215372800827},{"id":"https://openalex.org/keywords/memory-model","display_name":"Memory model","score":0.42805641889572144},{"id":"https://openalex.org/keywords/feature-extraction","display_name":"Feature extraction","score":0.42196279764175415},{"id":"https://openalex.org/keywords/artificial-neural-network","display_name":"Artificial neural network","score":0.4210379719734192},{"id":"https://openalex.org/keywords/sequence-learning","display_name":"Sequence learning","score":0.417856901884079},{"id":"https://openalex.org/keywords/computer-vision","display_name":"Computer vision","score":0.4175984859466553},{"id":"https://openalex.org/keywords/cognitive-neuroscience-of-visual-object-recognition","display_name":"Cognitive neuroscience of visual object recognition","score":0.4142845571041107},{"id":"https://openalex.org/keywords/machine-learning","display_name":"Machine learning","score":0.3722477853298187},{"id":"https://openalex.org/keywords/shared-memory","display_name":"Shared memory","score":0.0752885639667511}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.8378732204437256},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.757546603679657},{"id":"https://openalex.org/C30038468","wikidata":"https://www.wikidata.org/wiki/Q4354775","display_name":"Memorization","level":2,"score":0.6846407651901245},{"id":"https://openalex.org/C2776151529","wikidata":"https://www.wikidata.org/wiki/Q3045304","display_name":"Object detection","level":3,"score":0.6427513360977173},{"id":"https://openalex.org/C2781238097","wikidata":"https://www.wikidata.org/wiki/Q175026","display_name":"Object (grammar)","level":2,"score":0.6389120817184448},{"id":"https://openalex.org/C2778112365","wikidata":"https://www.wikidata.org/wiki/Q3511065","display_name":"Sequence (biology)","level":2,"score":0.5887417793273926},{"id":"https://openalex.org/C81363708","wikidata":"https://www.wikidata.org/wiki/Q17084460","display_name":"Convolutional neural network","level":2,"score":0.5787339210510254},{"id":"https://openalex.org/C2776401178","wikidata":"https://www.wikidata.org/wiki/Q12050496","display_name":"Feature (linguistics)","level":2,"score":0.5527653098106384},{"id":"https://openalex.org/C153180895","wikidata":"https://www.wikidata.org/wiki/Q7148389","display_name":"Pattern recognition (psychology)","level":2,"score":0.49106311798095703},{"id":"https://openalex.org/C2778751112","wikidata":"https://www.wikidata.org/wiki/Q835016","display_name":"Window (computing)","level":2,"score":0.48236316442489624},{"id":"https://openalex.org/C108583219","wikidata":"https://www.wikidata.org/wiki/Q197536","display_name":"Deep learning","level":2,"score":0.459215372800827},{"id":"https://openalex.org/C12186640","wikidata":"https://www.wikidata.org/wiki/Q6815743","display_name":"Memory model","level":3,"score":0.42805641889572144},{"id":"https://openalex.org/C52622490","wikidata":"https://www.wikidata.org/wiki/Q1026626","display_name":"Feature extraction","level":2,"score":0.42196279764175415},{"id":"https://openalex.org/C50644808","wikidata":"https://www.wikidata.org/wiki/Q192776","display_name":"Artificial neural network","level":2,"score":0.4210379719734192},{"id":"https://openalex.org/C40506919","wikidata":"https://www.wikidata.org/wiki/Q7452469","display_name":"Sequence learning","level":2,"score":0.417856901884079},{"id":"https://openalex.org/C31972630","wikidata":"https://www.wikidata.org/wiki/Q844240","display_name":"Computer vision","level":1,"score":0.4175984859466553},{"id":"https://openalex.org/C64876066","wikidata":"https://www.wikidata.org/wiki/Q5141226","display_name":"Cognitive neuroscience of visual object recognition","level":3,"score":0.4142845571041107},{"id":"https://openalex.org/C119857082","wikidata":"https://www.wikidata.org/wiki/Q2539","display_name":"Machine learning","level":1,"score":0.3722477853298187},{"id":"https://openalex.org/C133875982","wikidata":"https://www.wikidata.org/wiki/Q764810","display_name":"Shared memory","level":2,"score":0.0752885639667511},{"id":"https://openalex.org/C86803240","wikidata":"https://www.wikidata.org/wiki/Q420","display_name":"Biology","level":0,"score":0.0},{"id":"https://openalex.org/C145420912","wikidata":"https://www.wikidata.org/wiki/Q853077","display_name":"Mathematics education","level":1,"score":0.0},{"id":"https://openalex.org/C54355233","wikidata":"https://www.wikidata.org/wiki/Q7162","display_name":"Genetics","level":1,"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/C41895202","wikidata":"https://www.wikidata.org/wiki/Q8162","display_name":"Linguistics","level":1,"score":0.0},{"id":"https://openalex.org/C111919701","wikidata":"https://www.wikidata.org/wiki/Q9135","display_name":"Operating system","level":1,"score":0.0},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/icme.2016.7552920","is_oa":false,"landing_page_url":"https://doi.org/10.1109/icme.2016.7552920","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2016 IEEE International Conference on Multimedia and Expo (ICME)","raw_type":"proceedings-article"}],"best_oa_location":null,"sustainable_development_goals":[{"id":"https://metadata.un.org/sdg/16","display_name":"Peace, Justice and strong institutions","score":0.550000011920929}],"awards":[],"funders":[],"has_content":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":24,"referenced_works":["https://openalex.org/W17920260","https://openalex.org/W94414152","https://openalex.org/W827974120","https://openalex.org/W1536680647","https://openalex.org/W1960289438","https://openalex.org/W2058757422","https://openalex.org/W2064675550","https://openalex.org/W2080142539","https://openalex.org/W2085625911","https://openalex.org/W2102605133","https://openalex.org/W2105557521","https://openalex.org/W2121496627","https://openalex.org/W2130306094","https://openalex.org/W2149021215","https://openalex.org/W2161969291","https://openalex.org/W2163605009","https://openalex.org/W2168356304","https://openalex.org/W2255466643","https://openalex.org/W4213368454","https://openalex.org/W6600727447","https://openalex.org/W6670748880","https://openalex.org/W6677898444","https://openalex.org/W6679349572","https://openalex.org/W6684191040"],"related_works":["https://openalex.org/W4387561393","https://openalex.org/W3163481960","https://openalex.org/W3093895509","https://openalex.org/W2323394100","https://openalex.org/W280704926","https://openalex.org/W2476068070","https://openalex.org/W4323971310","https://openalex.org/W2893372175","https://openalex.org/W1972827106","https://openalex.org/W4387272257"],"abstract_inverted_index":{"Object":[0],"detection":[1,24,147],"is":[2,46,110],"a":[3,29,43,49,56,65,87,105],"significant":[4],"step":[5],"of":[6,35,94],"intelligent":[7],"video":[8],"surveillance.":[9],"The":[10],"existing":[11],"methods":[12],"achieve":[13],"the":[14,33,61,80,115,120,125,131],"goals":[15],"by":[16],"technically":[17],"designing":[18],"or":[19],"learning":[20,96,99],"special":[21],"features":[22,72],"and":[23,37,78,97,103],"models.":[25],"Conversely,":[26],"we":[27],"propose":[28],"method":[30,129,139],"to":[31,52,76,113],"simulate":[32],"mechanism":[34],"memory":[36,68],"prediction":[38,107],"in":[39,73,91,119],"our":[40,128],"brain.":[41],"Firstly,":[42],"fix-sized":[44],"window":[45],"slid":[47],"on":[48,134,145],"static":[50],"image":[51],"generate":[53],"sequences.":[54],"Then,":[55],"convolutional":[57],"neural":[58],"network":[59],"extracts":[60],"sequence":[62,71,98],"features.":[63],"Finally,":[64],"long":[66],"short-term":[67],"receives":[69],"these":[70],"proper":[74],"order":[75],"memorize":[77],"recognize":[79],"sequential":[81],"patterns.":[82],"Our":[83,138],"contributions":[84],"are":[85,100],"1)":[86],"memory-based":[88,106],"classification":[89],"model":[90,108],"which":[92,109],"both":[93],"feature":[95],"integrated":[101],"subtly,":[102],"2)":[104],"specially":[111],"designed":[112],"predict":[114],"potential":[116],"object":[117,146],"locations":[118],"surveillance":[121,136],"scene.":[122],"Compared":[123],"with":[124],"state-of-the-art":[126],"methods,":[127],"obtains":[130],"best":[132],"performance":[133],"three":[135],"datasets.":[137],"may":[140],"give":[141],"some":[142],"new":[143],"insights":[144],"researches.":[148]},"counts_by_year":[{"year":2022,"cited_by_count":1},{"year":2020,"cited_by_count":2},{"year":2017,"cited_by_count":2}],"updated_date":"2025-11-06T03:46:38.306776","created_date":"2025-10-10T00:00:00"}