{"id":"https://openalex.org/W2588214354","doi":"https://doi.org/10.1109/cisp-bmei.2016.7852685","title":"Long-term Residual Recurrent Network for human interaction recognition in videos","display_name":"Long-term Residual Recurrent Network for human interaction recognition in videos","publication_year":2016,"publication_date":"2016-10-01","ids":{"openalex":"https://openalex.org/W2588214354","doi":"https://doi.org/10.1109/cisp-bmei.2016.7852685","mag":"2588214354"},"language":"en","primary_location":{"id":"doi:10.1109/cisp-bmei.2016.7852685","is_oa":false,"landing_page_url":"https://doi.org/10.1109/cisp-bmei.2016.7852685","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2016 9th International Congress on Image and Signal Processing, BioMedical Engineering and Informatics (CISP-BMEI)","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/A5021991838","display_name":"Yang Zhao","orcid":"https://orcid.org/0000-0002-4032-8049"},"institutions":[{"id":"https://openalex.org/I183067930","display_name":"Shanghai Jiao Tong University","ror":"https://ror.org/0220qvk04","country_code":"CN","type":"education","lineage":["https://openalex.org/I183067930"]}],"countries":["CN"],"is_corresponding":true,"raw_author_name":"Yang Zhao","raw_affiliation_strings":["School of Electronic Information and Electrical Engineering, Shanghai Jiao Tong University"],"affiliations":[{"raw_affiliation_string":"School of Electronic Information and Electrical Engineering, Shanghai Jiao Tong University","institution_ids":["https://openalex.org/I183067930"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5057999830","display_name":"Tanfeng Sun","orcid":"https://orcid.org/0000-0002-3253-5136"},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Tanfeng Sun","raw_affiliation_strings":["National Engineering Lab on Information Content Analysis Techniques, Shanghai, China"],"affiliations":[{"raw_affiliation_string":"National Engineering Lab on Information Content Analysis Techniques, Shanghai, China","institution_ids":[]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5046412453","display_name":"Xinghao Jiang","orcid":"https://orcid.org/0000-0002-9758-0579"},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Xinghao Jiang","raw_affiliation_strings":["National Engineering Lab on Information Content Analysis Techniques, Shanghai, China"],"affiliations":[{"raw_affiliation_string":"National Engineering Lab on Information Content Analysis Techniques, Shanghai, China","institution_ids":[]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5101717685","display_name":"Shilin Wang","orcid":"https://orcid.org/0000-0002-8214-6809"},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Shilin Wang","raw_affiliation_strings":["National Engineering Lab on Information Content Analysis Techniques, Shanghai, China"],"affiliations":[{"raw_affiliation_string":"National Engineering Lab on Information Content Analysis Techniques, Shanghai, China","institution_ids":[]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":4,"corresponding_author_ids":["https://openalex.org/A5021991838"],"corresponding_institution_ids":["https://openalex.org/I183067930"],"apc_list":null,"apc_paid":null,"fwci":0.0,"has_fulltext":false,"cited_by_count":1,"citation_normalized_percentile":{"value":0.17706882,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":89,"max":94},"biblio":{"volume":"7572","issue":null,"first_page":"78","last_page":"83"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10812","display_name":"Human Pose and Action Recognition","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/T10812","display_name":"Human Pose and Action Recognition","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/T10331","display_name":"Video Surveillance and Tracking Methods","score":0.9994999766349792,"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/T11512","display_name":"Anomaly Detection Techniques and Applications","score":0.9972000122070312,"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":0.8223395347595215},{"id":"https://openalex.org/keywords/residual","display_name":"Residual","score":0.8180297613143921},{"id":"https://openalex.org/keywords/feature","display_name":"Feature (linguistics)","score":0.6685383915901184},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.6550994515419006},{"id":"https://openalex.org/keywords/representation","display_name":"Representation (politics)","score":0.6081773638725281},{"id":"https://openalex.org/keywords/term","display_name":"Term (time)","score":0.5916467308998108},{"id":"https://openalex.org/keywords/optical-flow","display_name":"Optical flow","score":0.5444936752319336},{"id":"https://openalex.org/keywords/long-short-term-memory","display_name":"Long short term memory","score":0.5234136581420898},{"id":"https://openalex.org/keywords/pattern-recognition","display_name":"Pattern recognition (psychology)","score":0.5090157985687256},{"id":"https://openalex.org/keywords/recurrent-neural-network","display_name":"Recurrent neural network","score":0.49277880787849426},{"id":"https://openalex.org/keywords/key","display_name":"Key (lock)","score":0.45806530117988586},{"id":"https://openalex.org/keywords/human-interaction","display_name":"Human interaction","score":0.42796653509140015},{"id":"https://openalex.org/keywords/machine-learning","display_name":"Machine learning","score":0.32167327404022217},{"id":"https://openalex.org/keywords/artificial-neural-network","display_name":"Artificial neural network","score":0.27952784299850464},{"id":"https://openalex.org/keywords/image","display_name":"Image (mathematics)","score":0.20765626430511475},{"id":"https://openalex.org/keywords/human\u2013computer-interaction","display_name":"Human\u2013computer interaction","score":0.08924242854118347},{"id":"https://openalex.org/keywords/algorithm","display_name":"Algorithm","score":0.08131533861160278}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.8223395347595215},{"id":"https://openalex.org/C155512373","wikidata":"https://www.wikidata.org/wiki/Q287450","display_name":"Residual","level":2,"score":0.8180297613143921},{"id":"https://openalex.org/C2776401178","wikidata":"https://www.wikidata.org/wiki/Q12050496","display_name":"Feature (linguistics)","level":2,"score":0.6685383915901184},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.6550994515419006},{"id":"https://openalex.org/C2776359362","wikidata":"https://www.wikidata.org/wiki/Q2145286","display_name":"Representation (politics)","level":3,"score":0.6081773638725281},{"id":"https://openalex.org/C61797465","wikidata":"https://www.wikidata.org/wiki/Q1188986","display_name":"Term (time)","level":2,"score":0.5916467308998108},{"id":"https://openalex.org/C155542232","wikidata":"https://www.wikidata.org/wiki/Q736111","display_name":"Optical flow","level":3,"score":0.5444936752319336},{"id":"https://openalex.org/C133488467","wikidata":"https://www.wikidata.org/wiki/Q6673524","display_name":"Long short term memory","level":4,"score":0.5234136581420898},{"id":"https://openalex.org/C153180895","wikidata":"https://www.wikidata.org/wiki/Q7148389","display_name":"Pattern recognition (psychology)","level":2,"score":0.5090157985687256},{"id":"https://openalex.org/C147168706","wikidata":"https://www.wikidata.org/wiki/Q1457734","display_name":"Recurrent neural network","level":3,"score":0.49277880787849426},{"id":"https://openalex.org/C26517878","wikidata":"https://www.wikidata.org/wiki/Q228039","display_name":"Key (lock)","level":2,"score":0.45806530117988586},{"id":"https://openalex.org/C2987082051","wikidata":"https://www.wikidata.org/wiki/Q223642","display_name":"Human interaction","level":2,"score":0.42796653509140015},{"id":"https://openalex.org/C119857082","wikidata":"https://www.wikidata.org/wiki/Q2539","display_name":"Machine learning","level":1,"score":0.32167327404022217},{"id":"https://openalex.org/C50644808","wikidata":"https://www.wikidata.org/wiki/Q192776","display_name":"Artificial neural network","level":2,"score":0.27952784299850464},{"id":"https://openalex.org/C115961682","wikidata":"https://www.wikidata.org/wiki/Q860623","display_name":"Image (mathematics)","level":2,"score":0.20765626430511475},{"id":"https://openalex.org/C107457646","wikidata":"https://www.wikidata.org/wiki/Q207434","display_name":"Human\u2013computer interaction","level":1,"score":0.08924242854118347},{"id":"https://openalex.org/C11413529","wikidata":"https://www.wikidata.org/wiki/Q8366","display_name":"Algorithm","level":1,"score":0.08131533861160278},{"id":"https://openalex.org/C199539241","wikidata":"https://www.wikidata.org/wiki/Q7748","display_name":"Law","level":1,"score":0.0},{"id":"https://openalex.org/C38652104","wikidata":"https://www.wikidata.org/wiki/Q3510521","display_name":"Computer security","level":1,"score":0.0},{"id":"https://openalex.org/C121332964","wikidata":"https://www.wikidata.org/wiki/Q413","display_name":"Physics","level":0,"score":0.0},{"id":"https://openalex.org/C17744445","wikidata":"https://www.wikidata.org/wiki/Q36442","display_name":"Political science","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/C41895202","wikidata":"https://www.wikidata.org/wiki/Q8162","display_name":"Linguistics","level":1,"score":0.0},{"id":"https://openalex.org/C94625758","wikidata":"https://www.wikidata.org/wiki/Q7163","display_name":"Politics","level":2,"score":0.0},{"id":"https://openalex.org/C62520636","wikidata":"https://www.wikidata.org/wiki/Q944","display_name":"Quantum mechanics","level":1,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/cisp-bmei.2016.7852685","is_oa":false,"landing_page_url":"https://doi.org/10.1109/cisp-bmei.2016.7852685","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2016 9th International Congress on Image and Signal Processing, BioMedical Engineering and Informatics (CISP-BMEI)","raw_type":"proceedings-article"}],"best_oa_location":null,"sustainable_development_goals":[{"score":0.4300000071525574,"id":"https://metadata.un.org/sdg/16","display_name":"Peace, Justice and strong institutions"}],"awards":[],"funders":[{"id":"https://openalex.org/F4320321001","display_name":"National Natural Science Foundation of China","ror":"https://ror.org/01h0zpd94"}],"has_content":{"grobid_xml":false,"pdf":false},"content_urls":null,"referenced_works_count":19,"referenced_works":["https://openalex.org/W109378472","https://openalex.org/W1944615693","https://openalex.org/W1947481528","https://openalex.org/W2022633861","https://openalex.org/W2047499569","https://openalex.org/W2064675550","https://openalex.org/W2067646051","https://openalex.org/W2068611653","https://openalex.org/W2105101328","https://openalex.org/W2108598243","https://openalex.org/W2118527252","https://openalex.org/W2156303437","https://openalex.org/W2183035153","https://openalex.org/W2194775991","https://openalex.org/W2533503513","https://openalex.org/W4239072543","https://openalex.org/W6676297131","https://openalex.org/W6682864246","https://openalex.org/W6687483927"],"related_works":["https://openalex.org/W2790400419","https://openalex.org/W2912153778","https://openalex.org/W4288108708","https://openalex.org/W4387163678","https://openalex.org/W2973430807","https://openalex.org/W4385280324","https://openalex.org/W2890685186","https://openalex.org/W2984436043","https://openalex.org/W4390245176","https://openalex.org/W3173606726"],"abstract_inverted_index":{"Human":[0],"action/interaction":[1],"recognition":[2,32],"has":[3,40],"wide":[4],"appliances":[5],"in":[6,35,105],"video":[7],"surveillance.":[8],"Spatial":[9,49],"and":[10,46,97,118],"temporal":[11,47],"information":[12],"representation":[13,70],"is":[14,33,51,59,75],"the":[15],"key":[16],"issue":[17],"of":[18,43,116],"this":[19,36],"topic.":[20],"A":[21],"framework":[22,39],"called":[23],"Long-term":[24],"Residual":[25,54],"Recurrent":[26],"Network":[27,55],"(LRRN)":[28],"for":[29],"human":[30],"interaction":[31],"proposed":[34],"paper.":[37],"The":[38,67,100],"an":[41],"advantage":[42],"incorporating":[44],"spatial":[45],"features.":[48],"feature":[50,58,69],"generated":[52],"from":[53,61,73],"(ResNet).":[56],"Temporal":[57],"learned":[60,71],"Long":[62],"Short":[63],"Term":[64],"Memory":[65],"(LSTM).":[66],"spatial-temporal":[68],"automatically":[72],"LRRN":[74],"more":[76],"expressive":[77],"than":[78],"hand-crafted":[79],"counterparts.":[80],"Optical":[81],"flow":[82],"image":[83],"sequences":[84],"are":[85,93],"utilised":[86],"to":[87],"reduce":[88],"static":[89],"background":[90],"interference.":[91],"Experiments":[92],"conducted":[94],"on":[95],"BIT-interaction":[96],"UT-interaction":[98],"datasets.":[99],"results":[101],"show":[102],"excellent":[103],"performance":[104],"accuracy":[106,115],"compared":[107],"with":[108],"prior":[109],"traditional":[110],"methods,":[111],"achieving":[112],"a":[113],"state-of-art":[114],"90%":[117],"98.33%":[119],"respectively.":[120]},"counts_by_year":[{"year":2020,"cited_by_count":1}],"updated_date":"2025-11-06T03:46:38.306776","created_date":"2025-10-10T00:00:00"}