{"id":"https://openalex.org/W2080044827","doi":"https://doi.org/10.1145/2683483.2683556","title":"Short Local Trajectory based moving anomaly detection","display_name":"Short Local Trajectory based moving anomaly detection","publication_year":2014,"publication_date":"2014-12-14","ids":{"openalex":"https://openalex.org/W2080044827","doi":"https://doi.org/10.1145/2683483.2683556","mag":"2080044827"},"language":"en","primary_location":{"id":"doi:10.1145/2683483.2683556","is_oa":false,"landing_page_url":"https://doi.org/10.1145/2683483.2683556","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Proceedings of the 2014 Indian Conference on Computer Vision Graphics and Image Processing","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/A5028532936","display_name":"Sovan Biswas","orcid":"https://orcid.org/0000-0003-1453-3310"},"institutions":[{"id":"https://openalex.org/I59270414","display_name":"Indian Institute of Science Bangalore","ror":"https://ror.org/04dese585","country_code":"IN","type":"education","lineage":["https://openalex.org/I59270414"]}],"countries":["IN"],"is_corresponding":false,"raw_author_name":"Sovan Biswas","raw_affiliation_strings":["Indian Institute of Science, Bangalore, India"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Indian Institute of Science, Bangalore, India","institution_ids":["https://openalex.org/I59270414"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5113777904","display_name":"R. Venkatesh Babu","orcid":null},"institutions":[{"id":"https://openalex.org/I59270414","display_name":"Indian Institute of Science Bangalore","ror":"https://ror.org/04dese585","country_code":"IN","type":"education","lineage":["https://openalex.org/I59270414"]}],"countries":["IN"],"is_corresponding":false,"raw_author_name":"R. Venkatesh Babu","raw_affiliation_strings":["Indian Institute of Science, Bangalore, India"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Indian Institute of Science, Bangalore, India","institution_ids":["https://openalex.org/I59270414"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":2,"corresponding_author_ids":[],"corresponding_institution_ids":[],"apc_list":null,"apc_paid":null,"fwci":0.8458,"has_fulltext":false,"cited_by_count":8,"citation_normalized_percentile":{"value":0.81757124,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":90,"max":97},"biblio":{"volume":null,"issue":null,"first_page":"1","last_page":"8"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T11512","display_name":"Anomaly Detection Techniques and Applications","score":1.0,"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"}},"topics":[{"id":"https://openalex.org/T11512","display_name":"Anomaly Detection Techniques and Applications","score":1.0,"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/T10331","display_name":"Video Surveillance and Tracking Methods","score":0.9991999864578247,"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/T12391","display_name":"Artificial Immune Systems Applications","score":0.9934999942779541,"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/trajectory","display_name":"Trajectory","score":0.824619472026825},{"id":"https://openalex.org/keywords/anomaly-detection","display_name":"Anomaly detection","score":0.7630143165588379},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.7301009893417358},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.7022712826728821},{"id":"https://openalex.org/keywords/hidden-markov-model","display_name":"Hidden Markov model","score":0.6243639588356018},{"id":"https://openalex.org/keywords/anomaly","display_name":"Anomaly (physics)","score":0.595318615436554},{"id":"https://openalex.org/keywords/pixel","display_name":"Pixel","score":0.5420570969581604},{"id":"https://openalex.org/keywords/computer-vision","display_name":"Computer vision","score":0.5085979700088501},{"id":"https://openalex.org/keywords/consistency","display_name":"Consistency (knowledge bases)","score":0.47451940178871155},{"id":"https://openalex.org/keywords/tracking","display_name":"Tracking (education)","score":0.4700796902179718},{"id":"https://openalex.org/keywords/pattern-recognition","display_name":"Pattern recognition (psychology)","score":0.46507856249809265},{"id":"https://openalex.org/keywords/object","display_name":"Object (grammar)","score":0.46069997549057007}],"concepts":[{"id":"https://openalex.org/C13662910","wikidata":"https://www.wikidata.org/wiki/Q193139","display_name":"Trajectory","level":2,"score":0.824619472026825},{"id":"https://openalex.org/C739882","wikidata":"https://www.wikidata.org/wiki/Q3560506","display_name":"Anomaly detection","level":2,"score":0.7630143165588379},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.7301009893417358},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.7022712826728821},{"id":"https://openalex.org/C23224414","wikidata":"https://www.wikidata.org/wiki/Q176769","display_name":"Hidden Markov model","level":2,"score":0.6243639588356018},{"id":"https://openalex.org/C12997251","wikidata":"https://www.wikidata.org/wiki/Q567560","display_name":"Anomaly (physics)","level":2,"score":0.595318615436554},{"id":"https://openalex.org/C160633673","wikidata":"https://www.wikidata.org/wiki/Q355198","display_name":"Pixel","level":2,"score":0.5420570969581604},{"id":"https://openalex.org/C31972630","wikidata":"https://www.wikidata.org/wiki/Q844240","display_name":"Computer vision","level":1,"score":0.5085979700088501},{"id":"https://openalex.org/C2776436953","wikidata":"https://www.wikidata.org/wiki/Q5163215","display_name":"Consistency (knowledge bases)","level":2,"score":0.47451940178871155},{"id":"https://openalex.org/C2775936607","wikidata":"https://www.wikidata.org/wiki/Q466845","display_name":"Tracking (education)","level":2,"score":0.4700796902179718},{"id":"https://openalex.org/C153180895","wikidata":"https://www.wikidata.org/wiki/Q7148389","display_name":"Pattern recognition (psychology)","level":2,"score":0.46507856249809265},{"id":"https://openalex.org/C2781238097","wikidata":"https://www.wikidata.org/wiki/Q175026","display_name":"Object (grammar)","level":2,"score":0.46069997549057007},{"id":"https://openalex.org/C19417346","wikidata":"https://www.wikidata.org/wiki/Q7922","display_name":"Pedagogy","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/C15744967","wikidata":"https://www.wikidata.org/wiki/Q9418","display_name":"Psychology","level":0,"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/C26873012","wikidata":"https://www.wikidata.org/wiki/Q214781","display_name":"Condensed matter physics","level":1,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1145/2683483.2683556","is_oa":false,"landing_page_url":"https://doi.org/10.1145/2683483.2683556","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Proceedings of the 2014 Indian Conference on Computer Vision Graphics and Image Processing","raw_type":"proceedings-article"}],"best_oa_location":null,"sustainable_development_goals":[{"id":"https://metadata.un.org/sdg/10","score":0.49000000953674316,"display_name":"Reduced inequalities"}],"awards":[],"funders":[],"has_content":{"grobid_xml":false,"pdf":false},"content_urls":null,"referenced_works_count":26,"referenced_works":["https://openalex.org/W1576328073","https://openalex.org/W1755205674","https://openalex.org/W2001877080","https://openalex.org/W2012931101","https://openalex.org/W2097241944","https://openalex.org/W2097363716","https://openalex.org/W2106842582","https://openalex.org/W2110934250","https://openalex.org/W2111918405","https://openalex.org/W2118153177","https://openalex.org/W2118439990","https://openalex.org/W2122361470","https://openalex.org/W2122463117","https://openalex.org/W2125105611","https://openalex.org/W2126574503","https://openalex.org/W2135431554","https://openalex.org/W2138092272","https://openalex.org/W2151727521","https://openalex.org/W2162616721","https://openalex.org/W2163147152","https://openalex.org/W2164261375","https://openalex.org/W2164489414","https://openalex.org/W2170610624","https://openalex.org/W2561675875","https://openalex.org/W2596164567","https://openalex.org/W2800106282"],"related_works":["https://openalex.org/W2806741695","https://openalex.org/W4290647774","https://openalex.org/W3189286258","https://openalex.org/W3207797160","https://openalex.org/W3210364259","https://openalex.org/W4300558037","https://openalex.org/W2667207928","https://openalex.org/W2912112202","https://openalex.org/W4377864969","https://openalex.org/W3030345572"],"abstract_inverted_index":{"A":[0],"high":[1],"level":[2],"abstraction":[3],"of":[4,27,41,69,91,111,157],"the":[5,25,28,87,94,109,134,143,161,167,176,183,192],"behavior":[6],"a":[7,38,50,76,115],"moving":[8,47,113],"object":[9,78],"can":[10],"be":[11],"obtained":[12],"by":[13,24,182],"analyzing":[14],"its":[15,54,155],"trajectory.":[16],"However,":[17],"traditional":[18],"trajectories":[19,110],"or":[20],"tracklets":[21],"are":[22],"bound":[23],"limitations":[26],"underlying":[29],"tracking":[30],"algorithm":[31,145],"used.":[32],"In":[33],"this":[34],"paper,":[35],"we":[36,126,165],"propose":[37],"novel":[39],"idea":[40],"detecting":[42],"anomalous":[43],"objects":[44,48],"amid":[45],"other":[46],"in":[49,89],"video":[51],"based":[52,174],"on":[53,175,195],"short":[55,62],"history.":[56],"This":[57],"history":[58],"is":[59,86,98,186],"defined":[60],"as":[61,148,189],"local":[63],"trajectory":[64,96,136],"(SLT).":[65],"The":[66],"unique":[67],"approach":[68,185],"generating":[70],"SLTs":[71,147],"from":[72,191],"super-pixels":[73],"belonging":[74],"to":[75],"foreground":[77],"that":[79],"incorporates":[80],"both":[81],"spatial":[82,168],"and":[83,153,204],"temporal":[84],"information":[85],"key":[88],"detection":[90],"anomaly.":[92],"Additionally,":[93],"proposed":[95,144,184],"extraction":[97],"robust":[99],"across":[100],"videos":[101],"having":[102],"different":[103],"crowd":[104],"density,":[105],"occlusions,":[106],"etc.":[107],"Generally":[108],"persons/objects":[112],"at":[114],"particular":[116],"region":[117],"under":[118],"usual":[119,135],"conditions":[120],"has":[121],"certain":[122],"fixed":[123],"characteristics,":[124],"thus":[125],"use":[127],"Hidden":[128],"Markov":[129],"Model":[130],"(HMM)":[131],"for":[132,150,171],"capturing":[133],"patterns":[137],"during":[138,141],"training.":[139],"Whereas":[140],"detection,":[142],"takes":[146],"observations":[149],"each":[151,172],"super-pixel":[152],"measures":[154],"likelihood":[156],"being":[158],"anomaly":[159,180,199],"using":[160],"learned":[162],"HMMs.":[163],"Furthermore,":[164],"compute":[166],"consistency":[169],"measure":[170],"SLT":[173],"neighboring":[177],"trajectories.":[178],"Thus,":[179],"detected":[181],"highly":[187],"localized":[188],"demonstrated":[190],"experiments":[193],"conducted":[194],"two":[196],"widely":[197],"used":[198],"datasets,":[200],"namely":[201],"UCSD":[202,205],"Ped1":[203],"Ped2.":[206]},"counts_by_year":[{"year":2022,"cited_by_count":1},{"year":2021,"cited_by_count":3},{"year":2020,"cited_by_count":2},{"year":2017,"cited_by_count":1},{"year":2014,"cited_by_count":1}],"updated_date":"2026-06-11T09:08:48.828518","created_date":"2025-10-10T00:00:00"}