{"id":"https://openalex.org/W2290656916","doi":"https://doi.org/10.1109/robio.2015.7414631","title":"Motion trajectory recognition using local temporal self-similarities","display_name":"Motion trajectory recognition using local temporal self-similarities","publication_year":2015,"publication_date":"2015-12-01","ids":{"openalex":"https://openalex.org/W2290656916","doi":"https://doi.org/10.1109/robio.2015.7414631","mag":"2290656916"},"language":"en","primary_location":{"id":"doi:10.1109/robio.2015.7414631","is_oa":false,"landing_page_url":"https://doi.org/10.1109/robio.2015.7414631","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2015 IEEE International Conference on Robotics and Biomimetics (ROBIO)","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/A5003260829","display_name":"Zhanpeng Shao","orcid":"https://orcid.org/0000-0002-8130-5230"},"institutions":[{"id":"https://openalex.org/I168719708","display_name":"City University of Hong Kong","ror":"https://ror.org/03q8dnn23","country_code":"HK","type":"education","lineage":["https://openalex.org/I168719708"]}],"countries":["HK"],"is_corresponding":false,"raw_author_name":"Zhanpeng Shao","raw_affiliation_strings":["Department of Mechanical and Biomedical Engineering, City University of Hong Kong, Hong Kong"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Department of Mechanical and Biomedical Engineering, City University of Hong Kong, Hong Kong","institution_ids":["https://openalex.org/I168719708"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5100642147","display_name":"Youfu Li","orcid":"https://orcid.org/0000-0002-5227-1326"},"institutions":[{"id":"https://openalex.org/I168719708","display_name":"City University of Hong Kong","ror":"https://ror.org/03q8dnn23","country_code":"HK","type":"education","lineage":["https://openalex.org/I168719708"]}],"countries":["HK"],"is_corresponding":false,"raw_author_name":"Y.F. Li","raw_affiliation_strings":["Department of Mechanical and Biomedical Engineering, City University of Hong Kong, Hong Kong"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Department of Mechanical and Biomedical Engineering, City University of Hong Kong, Hong Kong","institution_ids":["https://openalex.org/I168719708"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5018695663","display_name":"Yao Guo","orcid":"https://orcid.org/0000-0001-8041-1245"},"institutions":[{"id":"https://openalex.org/I168719708","display_name":"City University of Hong Kong","ror":"https://ror.org/03q8dnn23","country_code":"HK","type":"education","lineage":["https://openalex.org/I168719708"]}],"countries":["HK"],"is_corresponding":false,"raw_author_name":"Yao Guo","raw_affiliation_strings":["Department of Mechanical and Biomedical Engineering, City University of Hong Kong, Hong Kong"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Department of Mechanical and Biomedical Engineering, City University of Hong Kong, Hong Kong","institution_ids":["https://openalex.org/I168719708"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":3,"corresponding_author_ids":[],"corresponding_institution_ids":[],"apc_list":null,"apc_paid":null,"fwci":0.1872,"has_fulltext":false,"cited_by_count":2,"citation_normalized_percentile":{"value":0.61437619,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":89,"max":94},"biblio":{"volume":"37","issue":null,"first_page":"102","last_page":"107"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10812","display_name":"Human Pose and Action Recognition","score":0.9993000030517578,"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":0.9993000030517578,"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/T11398","display_name":"Hand Gesture Recognition Systems","score":0.9991000294685364,"subfield":{"id":"https://openalex.org/subfields/1709","display_name":"Human-Computer Interaction"},"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":0.9961000084877014,"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/artificial-intelligence","display_name":"Artificial intelligence","score":0.7898640632629395},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.667385458946228},{"id":"https://openalex.org/keywords/trajectory","display_name":"Trajectory","score":0.6657276749610901},{"id":"https://openalex.org/keywords/computer-vision","display_name":"Computer vision","score":0.6281416416168213},{"id":"https://openalex.org/keywords/histogram","display_name":"Histogram","score":0.6107895374298096},{"id":"https://openalex.org/keywords/pattern-recognition","display_name":"Pattern recognition (psychology)","score":0.5717839002609253},{"id":"https://openalex.org/keywords/motion","display_name":"Motion (physics)","score":0.5386092662811279},{"id":"https://openalex.org/keywords/robustness","display_name":"Robustness (evolution)","score":0.5013432502746582},{"id":"https://openalex.org/keywords/similarity","display_name":"Similarity (geometry)","score":0.4976637661457062},{"id":"https://openalex.org/keywords/motion-analysis","display_name":"Motion analysis","score":0.4453165829181671},{"id":"https://openalex.org/keywords/histogram-of-oriented-gradients","display_name":"Histogram of oriented gradients","score":0.4142225384712219},{"id":"https://openalex.org/keywords/motion-estimation","display_name":"Motion estimation","score":0.4134378433227539},{"id":"https://openalex.org/keywords/image","display_name":"Image (mathematics)","score":0.10093721747398376}],"concepts":[{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.7898640632629395},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.667385458946228},{"id":"https://openalex.org/C13662910","wikidata":"https://www.wikidata.org/wiki/Q193139","display_name":"Trajectory","level":2,"score":0.6657276749610901},{"id":"https://openalex.org/C31972630","wikidata":"https://www.wikidata.org/wiki/Q844240","display_name":"Computer vision","level":1,"score":0.6281416416168213},{"id":"https://openalex.org/C53533937","wikidata":"https://www.wikidata.org/wiki/Q185020","display_name":"Histogram","level":3,"score":0.6107895374298096},{"id":"https://openalex.org/C153180895","wikidata":"https://www.wikidata.org/wiki/Q7148389","display_name":"Pattern recognition (psychology)","level":2,"score":0.5717839002609253},{"id":"https://openalex.org/C104114177","wikidata":"https://www.wikidata.org/wiki/Q79782","display_name":"Motion (physics)","level":2,"score":0.5386092662811279},{"id":"https://openalex.org/C63479239","wikidata":"https://www.wikidata.org/wiki/Q7353546","display_name":"Robustness (evolution)","level":3,"score":0.5013432502746582},{"id":"https://openalex.org/C103278499","wikidata":"https://www.wikidata.org/wiki/Q254465","display_name":"Similarity (geometry)","level":3,"score":0.4976637661457062},{"id":"https://openalex.org/C2777036941","wikidata":"https://www.wikidata.org/wiki/Q6917771","display_name":"Motion analysis","level":2,"score":0.4453165829181671},{"id":"https://openalex.org/C17426736","wikidata":"https://www.wikidata.org/wiki/Q419918","display_name":"Histogram of oriented gradients","level":4,"score":0.4142225384712219},{"id":"https://openalex.org/C10161872","wikidata":"https://www.wikidata.org/wiki/Q557891","display_name":"Motion estimation","level":2,"score":0.4134378433227539},{"id":"https://openalex.org/C115961682","wikidata":"https://www.wikidata.org/wiki/Q860623","display_name":"Image (mathematics)","level":2,"score":0.10093721747398376},{"id":"https://openalex.org/C104317684","wikidata":"https://www.wikidata.org/wiki/Q7187","display_name":"Gene","level":2,"score":0.0},{"id":"https://openalex.org/C1276947","wikidata":"https://www.wikidata.org/wiki/Q333","display_name":"Astronomy","level":1,"score":0.0},{"id":"https://openalex.org/C185592680","wikidata":"https://www.wikidata.org/wiki/Q2329","display_name":"Chemistry","level":0,"score":0.0},{"id":"https://openalex.org/C55493867","wikidata":"https://www.wikidata.org/wiki/Q7094","display_name":"Biochemistry","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}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/robio.2015.7414631","is_oa":false,"landing_page_url":"https://doi.org/10.1109/robio.2015.7414631","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2015 IEEE International Conference on Robotics and Biomimetics (ROBIO)","raw_type":"proceedings-article"}],"best_oa_location":null,"sustainable_development_goals":[],"awards":[],"funders":[],"has_content":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":23,"referenced_works":["https://openalex.org/W1967914497","https://openalex.org/W1968596169","https://openalex.org/W1985323353","https://openalex.org/W2025632878","https://openalex.org/W2028931980","https://openalex.org/W2054846008","https://openalex.org/W2072535595","https://openalex.org/W2088604406","https://openalex.org/W2100968369","https://openalex.org/W2104109662","https://openalex.org/W2111287349","https://openalex.org/W2119859909","https://openalex.org/W2125854396","https://openalex.org/W2129660070","https://openalex.org/W2144502914","https://openalex.org/W2148659553","https://openalex.org/W2149645715","https://openalex.org/W2153635508","https://openalex.org/W2155557617","https://openalex.org/W2161969291","https://openalex.org/W2162915993","https://openalex.org/W6642289102","https://openalex.org/W6676767171"],"related_works":["https://openalex.org/W2071599417","https://openalex.org/W2048716406","https://openalex.org/W1870444468","https://openalex.org/W2183235103","https://openalex.org/W1964725559","https://openalex.org/W3109748140","https://openalex.org/W2433492094","https://openalex.org/W1556327589","https://openalex.org/W804729978","https://openalex.org/W2809600522"],"abstract_inverted_index":{"Motion":[0],"trajectories":[1,27,130],"provide":[2],"a":[3,34,41,65,77,83,102,108,114,134,151],"meaningful":[4],"clue":[5],"in":[6,96,144,154],"motion":[7,18,26,35,57,78,129],"characterization":[8],"of":[9,25,53,61,72,104,110],"humans,":[10],"robots,":[11],"and":[12,86,157],"moving":[13],"objects.":[14],"This":[15],"paper":[16],"addresses":[17],"trajectory":[19,36],"recognition":[20,155],"by":[21,39],"exploring":[22],"local":[23,73],"self-similarities":[24,32],"over":[28],"time.":[29],"Such":[30,80],"temporal":[31,74,115],"within":[33,76],"are":[37,161],"observed":[38],"building":[40],"Self-Similarity":[42],"Matrix":[43],"(SSM)":[44],"based":[45],"on":[46,133],"the":[47,56,70,97],"sigmoid":[48],"distances":[49],"between":[50],"all":[51],"pairs":[52],"points":[54],"along":[55],"trajectory.":[58,79],"On":[59],"analysis":[60],"SSMs,":[62],"we":[63],"develop":[64],"self-similarity":[66,105],"descriptor":[67],"that":[68],"captures":[69],"layout":[71],"similarities":[75],"descriptors":[81,106],"exhibit":[82],"noise":[84,160],"stability":[85],"invariance":[87],"to":[88,100,159],"group":[89],"transformations.":[90],"Temporal":[91],"pyramid":[92,116],"ordering":[93],"is":[94,131],"used":[95,122],"BoF":[98],"approach":[99],"quantize":[101],"set":[103],"as":[107,119],"histogram":[109],"visual":[111],"words,":[112],"forming":[113],"representation":[117],"accordingly":[118],"input":[120],"data":[121],"for":[123,127],"recognition.":[124],"Our":[125],"method":[126],"recognizing":[128],"validated":[132],"sign":[135],"language":[136],"dataset.":[137],"It":[138],"shows":[139],"similar":[140],"or":[141],"superior":[142],"performance":[143],"comparison":[145],"with":[146],"other":[147],"methods.":[148],"In":[149],"particular,":[150],"significant":[152],"improvement":[153],"efficiency":[156],"robustness":[158],"achieved":[162],"using":[163],"our":[164],"method.":[165]},"counts_by_year":[{"year":2021,"cited_by_count":1},{"year":2017,"cited_by_count":1}],"updated_date":"2026-06-11T09:08:48.828518","created_date":"2025-10-10T00:00:00"}