{"id":"https://openalex.org/W2040443148","doi":"https://doi.org/10.1109/rivf.2013.6719903","title":"Sparse spatio-temporal representation of joint shape-motion cues for human action recognition in depth sequences","display_name":"Sparse spatio-temporal representation of joint shape-motion cues for human action recognition in depth sequences","publication_year":2013,"publication_date":"2013-11-01","ids":{"openalex":"https://openalex.org/W2040443148","doi":"https://doi.org/10.1109/rivf.2013.6719903","mag":"2040443148"},"language":"en","primary_location":{"id":"doi:10.1109/rivf.2013.6719903","is_oa":false,"landing_page_url":"https://doi.org/10.1109/rivf.2013.6719903","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"The 2013 RIVF International Conference on Computing &amp; Communication Technologies - Research, Innovation, and Vision for Future (RIVF)","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/A5100775266","display_name":"Quang D. Tran","orcid":"https://orcid.org/0000-0001-5839-5875"},"institutions":[{"id":"https://openalex.org/I1323252656","display_name":"Information Technology University","ror":"https://ror.org/00ngv8j44","country_code":"PK","type":"education","lineage":["https://openalex.org/I1323252656"]},{"id":"https://openalex.org/I23582244","display_name":"Ho Chi Minh City University of Science","ror":"https://ror.org/05jfbgm49","country_code":"VN","type":"education","lineage":["https://openalex.org/I123565023","https://openalex.org/I23582244"]}],"countries":["PK","VN"],"is_corresponding":false,"raw_author_name":"Quang D. Tran","raw_affiliation_strings":["Faculty of Information Technology, University of Science","Fac. of Inf. Technol., Univ. of Sci., Ho Chi Minh City, Vietnam"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Faculty of Information Technology, University of Science","institution_ids":["https://openalex.org/I1323252656"]},{"raw_affiliation_string":"Fac. of Inf. Technol., Univ. of Sci., Ho Chi Minh City, Vietnam","institution_ids":["https://openalex.org/I23582244"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5024762397","display_name":"Ngoc Quoc Ly","orcid":"https://orcid.org/0000-0003-4476-2456"},"institutions":[{"id":"https://openalex.org/I1323252656","display_name":"Information Technology University","ror":"https://ror.org/00ngv8j44","country_code":"PK","type":"education","lineage":["https://openalex.org/I1323252656"]},{"id":"https://openalex.org/I23582244","display_name":"Ho Chi Minh City University of Science","ror":"https://ror.org/05jfbgm49","country_code":"VN","type":"education","lineage":["https://openalex.org/I123565023","https://openalex.org/I23582244"]}],"countries":["PK","VN"],"is_corresponding":false,"raw_author_name":"Ngoc Q. Ly","raw_affiliation_strings":["Faculty of Information Technology, University of Science","Fac. of Inf. Technol., Univ. of Sci., Ho Chi Minh City, Vietnam"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Faculty of Information Technology, University of Science","institution_ids":["https://openalex.org/I1323252656"]},{"raw_affiliation_string":"Fac. of Inf. Technol., Univ. of Sci., Ho Chi Minh City, Vietnam","institution_ids":["https://openalex.org/I23582244"]}]}],"institutions":[],"countries_distinct_count":2,"institutions_distinct_count":2,"corresponding_author_ids":[],"corresponding_institution_ids":[],"apc_list":null,"apc_paid":null,"fwci":1.8708,"has_fulltext":false,"cited_by_count":22,"citation_normalized_percentile":{"value":0.89240243,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":89,"max":99},"biblio":{"volume":null,"issue":null,"first_page":"253","last_page":"258"},"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/T11512","display_name":"Anomaly Detection Techniques and Applications","score":0.9958999752998352,"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"}},{"id":"https://openalex.org/T12740","display_name":"Gait Recognition and Analysis","score":0.995199978351593,"subfield":{"id":"https://openalex.org/subfields/2204","display_name":"Biomedical Engineering"},"field":{"id":"https://openalex.org/fields/22","display_name":"Engineering"},"domain":{"id":"https://openalex.org/domains/3","display_name":"Physical Sciences"}}],"keywords":[{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.7490088939666748},{"id":"https://openalex.org/keywords/discriminative-model","display_name":"Discriminative model","score":0.744030773639679},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.7152934670448303},{"id":"https://openalex.org/keywords/neural-coding","display_name":"Neural coding","score":0.665379524230957},{"id":"https://openalex.org/keywords/histogram","display_name":"Histogram","score":0.6239060163497925},{"id":"https://openalex.org/keywords/pattern-recognition","display_name":"Pattern recognition (psychology)","score":0.6163886785507202},{"id":"https://openalex.org/keywords/motion-capture","display_name":"Motion capture","score":0.5337323546409607},{"id":"https://openalex.org/keywords/sparse-approximation","display_name":"Sparse approximation","score":0.4869719445705414},{"id":"https://openalex.org/keywords/computer-vision","display_name":"Computer vision","score":0.48467376828193665},{"id":"https://openalex.org/keywords/optical-flow","display_name":"Optical flow","score":0.4491698741912842},{"id":"https://openalex.org/keywords/representation","display_name":"Representation (politics)","score":0.44791895151138306},{"id":"https://openalex.org/keywords/motion","display_name":"Motion (physics)","score":0.4013459086418152},{"id":"https://openalex.org/keywords/image","display_name":"Image (mathematics)","score":0.11183571815490723}],"concepts":[{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.7490088939666748},{"id":"https://openalex.org/C97931131","wikidata":"https://www.wikidata.org/wiki/Q5282087","display_name":"Discriminative model","level":2,"score":0.744030773639679},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.7152934670448303},{"id":"https://openalex.org/C77637269","wikidata":"https://www.wikidata.org/wiki/Q7002051","display_name":"Neural coding","level":2,"score":0.665379524230957},{"id":"https://openalex.org/C53533937","wikidata":"https://www.wikidata.org/wiki/Q185020","display_name":"Histogram","level":3,"score":0.6239060163497925},{"id":"https://openalex.org/C153180895","wikidata":"https://www.wikidata.org/wiki/Q7148389","display_name":"Pattern recognition (psychology)","level":2,"score":0.6163886785507202},{"id":"https://openalex.org/C48007421","wikidata":"https://www.wikidata.org/wiki/Q676252","display_name":"Motion capture","level":3,"score":0.5337323546409607},{"id":"https://openalex.org/C124066611","wikidata":"https://www.wikidata.org/wiki/Q28684319","display_name":"Sparse approximation","level":2,"score":0.4869719445705414},{"id":"https://openalex.org/C31972630","wikidata":"https://www.wikidata.org/wiki/Q844240","display_name":"Computer vision","level":1,"score":0.48467376828193665},{"id":"https://openalex.org/C155542232","wikidata":"https://www.wikidata.org/wiki/Q736111","display_name":"Optical flow","level":3,"score":0.4491698741912842},{"id":"https://openalex.org/C2776359362","wikidata":"https://www.wikidata.org/wiki/Q2145286","display_name":"Representation (politics)","level":3,"score":0.44791895151138306},{"id":"https://openalex.org/C104114177","wikidata":"https://www.wikidata.org/wiki/Q79782","display_name":"Motion (physics)","level":2,"score":0.4013459086418152},{"id":"https://openalex.org/C115961682","wikidata":"https://www.wikidata.org/wiki/Q860623","display_name":"Image (mathematics)","level":2,"score":0.11183571815490723},{"id":"https://openalex.org/C94625758","wikidata":"https://www.wikidata.org/wiki/Q7163","display_name":"Politics","level":2,"score":0.0},{"id":"https://openalex.org/C199539241","wikidata":"https://www.wikidata.org/wiki/Q7748","display_name":"Law","level":1,"score":0.0},{"id":"https://openalex.org/C17744445","wikidata":"https://www.wikidata.org/wiki/Q36442","display_name":"Political science","level":0,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/rivf.2013.6719903","is_oa":false,"landing_page_url":"https://doi.org/10.1109/rivf.2013.6719903","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"The 2013 RIVF International Conference on Computing &amp; Communication Technologies - Research, Innovation, and Vision for Future (RIVF)","raw_type":"proceedings-article"}],"best_oa_location":null,"sustainable_development_goals":[{"id":"https://metadata.un.org/sdg/10","score":0.7400000095367432,"display_name":"Reduced inequalities"}],"awards":[],"funders":[],"has_content":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":34,"referenced_works":["https://openalex.org/W129703402","https://openalex.org/W1534763723","https://openalex.org/W1591677984","https://openalex.org/W1983705368","https://openalex.org/W1989665047","https://openalex.org/W1989975849","https://openalex.org/W2008824967","https://openalex.org/W2020163092","https://openalex.org/W2024868105","https://openalex.org/W2033959528","https://openalex.org/W2060280062","https://openalex.org/W2063153269","https://openalex.org/W2068611653","https://openalex.org/W2073578547","https://openalex.org/W2084716923","https://openalex.org/W2085735683","https://openalex.org/W2097018403","https://openalex.org/W2113606819","https://openalex.org/W2138714266","https://openalex.org/W2142194269","https://openalex.org/W2143267104","https://openalex.org/W2144380653","https://openalex.org/W2155268664","https://openalex.org/W2169251375","https://openalex.org/W2172156083","https://openalex.org/W2173046955","https://openalex.org/W2533739470","https://openalex.org/W6605295242","https://openalex.org/W6632082525","https://openalex.org/W6635363735","https://openalex.org/W6674642818","https://openalex.org/W6681176984","https://openalex.org/W6685306902","https://openalex.org/W6685520734"],"related_works":["https://openalex.org/W2890544631","https://openalex.org/W2067062989","https://openalex.org/W4205656132","https://openalex.org/W2111634407","https://openalex.org/W2144332008","https://openalex.org/W3004790527","https://openalex.org/W2203155458","https://openalex.org/W2783282829","https://openalex.org/W2138494306","https://openalex.org/W2539392819"],"abstract_inverted_index":{"The":[0],"availability":[1],"of":[2,21,35,59,70,104,144,174],"3D":[3,28,56,77],"sensors":[4],"has":[5],"recently":[6],"made":[7],"it":[8,65],"possible":[9],"to":[10,100,136,139],"capture":[11,147],"depth":[12,40,89],"maps":[13],"in":[14,39,75,88,94],"real":[15],"time,":[16],"which":[17,52,168],"simplifies":[18],"a":[19,47,67,76,124],"variety":[20],"visual":[22],"recognition":[23,38],"tasks,":[24],"including":[25],"object/action":[26],"classification,":[27],"reconstruction,":[29],"etc.We":[30],"address":[31],"here":[32],"the":[33,71,84,97,102,108,119,141,162,177,182],"problems":[34],"human":[36],"action":[37],"sequences.":[41],"On":[42],"one":[43],"hand,":[44],"we":[45,53,157],"present":[46],"new":[48],"joint":[49],"shape-motion":[50],"descriptor":[51,99],"call":[54],"as":[55],"Spherical":[57],"Histogram":[58],"Oriented":[60],"Normal":[61],"Vectors":[62],"(3DS-HONV),":[63],"since":[64],"is":[66,115,134],"spatio-temporal":[68],"extension":[69],"original":[72],"HONV":[73],"quantized":[74],"spherical":[78],"coordinate.":[79],"We":[80],"further":[81],"prove":[82],"that":[83,112],"Optical":[85],"Flow":[86],"fields":[87],"sequences":[90],"could":[91],"be":[92],"used":[93],"conjunction":[95],"with":[96,170],"presented":[98],"augment":[101],"ability":[103],"capturing":[105],"in-plane":[106],"movements;":[107],"experiments":[109],"later":[110],"show":[111],"this":[113],"combination":[114],"more":[116],"efficient":[117],"than":[118],"standalone":[120],"3DS-HONV.":[121],"In":[122],"addition,":[123],"discriminative":[125],"dictionary":[126],"learning":[127,151],"and":[128,146,154,179],"feature":[129],"representation":[130],"via":[131],"Sparse":[132],"Coding":[133],"applied":[135],"proposed":[137],"descriptors":[138],"relieve":[140],"intrinsic":[142],"effects":[143],"noise":[145],"high-level":[148],"patterns.":[149],"By":[150],"these":[152],"sparse":[153],"distinctive":[155],"representations,":[156],"demonstrate":[158],"large":[159],"improvements":[160],"over":[161],"state-of-the-art":[163],"on":[164,176,181],"two":[165],"challenging":[166],"benchmarks,":[167],"results":[169],"an":[171],"overall":[172],"accuracy":[173],"91.92%":[175],"MSRAction3D":[178],"93.31%":[180],"MSRGesture3D":[183],"datasets,":[184],"respectively.":[185]},"counts_by_year":[{"year":2023,"cited_by_count":2},{"year":2022,"cited_by_count":1},{"year":2021,"cited_by_count":3},{"year":2020,"cited_by_count":1},{"year":2018,"cited_by_count":5},{"year":2017,"cited_by_count":1},{"year":2016,"cited_by_count":6},{"year":2015,"cited_by_count":1},{"year":2014,"cited_by_count":2}],"updated_date":"2026-07-29T14:22:42.915294","created_date":"2025-10-10T00:00:00"}
