{"id":"https://openalex.org/W2022032942","doi":"https://doi.org/10.1109/icacci.2013.6637456","title":"An automated video surveillance system using Viewpoint Feature Histogram and CUDA-enabled GPUs","display_name":"An automated video surveillance system using Viewpoint Feature Histogram and CUDA-enabled GPUs","publication_year":2013,"publication_date":"2013-08-01","ids":{"openalex":"https://openalex.org/W2022032942","doi":"https://doi.org/10.1109/icacci.2013.6637456","mag":"2022032942"},"language":"en","primary_location":{"id":"doi:10.1109/icacci.2013.6637456","is_oa":false,"landing_page_url":"https://doi.org/10.1109/icacci.2013.6637456","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2013 International Conference on Advances in Computing, Communications and Informatics (ICACCI)","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/A5016778130","display_name":"Saurabh Jha","orcid":"https://orcid.org/0000-0003-0926-0776"},"institutions":[{"id":"https://openalex.org/I876193797","display_name":"Vellore Institute of Technology University","ror":"https://ror.org/00qzypv28","country_code":"IN","type":"education","lineage":["https://openalex.org/I876193797"]}],"countries":["IN"],"is_corresponding":true,"raw_author_name":"Saurabh Jha","raw_affiliation_strings":["School of Computing Sciences and Engineering, VIT University, Chennai, India","[School of Computer Science and Engineering, VIT University, Chennai, INDIA]"],"affiliations":[{"raw_affiliation_string":"School of Computing Sciences and Engineering, VIT University, Chennai, India","institution_ids":["https://openalex.org/I876193797"]},{"raw_affiliation_string":"[School of Computer Science and Engineering, VIT University, Chennai, INDIA]","institution_ids":["https://openalex.org/I876193797"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5082726473","display_name":"Priyank Trivedi","orcid":"https://orcid.org/0000-0003-2391-6866"},"institutions":[{"id":"https://openalex.org/I876193797","display_name":"Vellore Institute of Technology University","ror":"https://ror.org/00qzypv28","country_code":"IN","type":"education","lineage":["https://openalex.org/I876193797"]}],"countries":["IN"],"is_corresponding":false,"raw_author_name":"Priyank Trivedi","raw_affiliation_strings":["School of Computing Sciences and Engineering, VIT University, Chennai, India","[School of Computer Science and Engineering, VIT University, Chennai, INDIA]"],"affiliations":[{"raw_affiliation_string":"School of Computing Sciences and Engineering, VIT University, Chennai, India","institution_ids":["https://openalex.org/I876193797"]},{"raw_affiliation_string":"[School of Computer Science and Engineering, VIT University, Chennai, INDIA]","institution_ids":["https://openalex.org/I876193797"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":2,"corresponding_author_ids":["https://openalex.org/A5016778130"],"corresponding_institution_ids":["https://openalex.org/I876193797"],"apc_list":null,"apc_paid":null,"fwci":0.51986428,"has_fulltext":false,"cited_by_count":6,"citation_normalized_percentile":{"value":0.70584032,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":89,"max":97},"biblio":{"volume":null,"issue":null,"first_page":"1812","last_page":"1816"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10627","display_name":"Advanced Image and Video Retrieval Techniques","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/T10627","display_name":"Advanced Image and Video Retrieval Techniques","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/T10331","display_name":"Video Surveillance and Tracking Methods","score":0.9998000264167786,"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/T10191","display_name":"Robotics and Sensor-Based Localization","score":0.9994999766349792,"subfield":{"id":"https://openalex.org/subfields/2202","display_name":"Aerospace 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/cuda","display_name":"CUDA","score":0.8523743152618408},{"id":"https://openalex.org/keywords/histogram","display_name":"Histogram","score":0.8453390598297119},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.833338737487793},{"id":"https://openalex.org/keywords/feature","display_name":"Feature (linguistics)","score":0.6526004076004028},{"id":"https://openalex.org/keywords/histogram-of-oriented-gradients","display_name":"Histogram of oriented gradients","score":0.5925033688545227},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.5685875415802002},{"id":"https://openalex.org/keywords/exploit","display_name":"Exploit","score":0.5611530542373657},{"id":"https://openalex.org/keywords/computer-vision","display_name":"Computer vision","score":0.5075315237045288},{"id":"https://openalex.org/keywords/feature-extraction","display_name":"Feature extraction","score":0.4764435887336731},{"id":"https://openalex.org/keywords/object-detection","display_name":"Object detection","score":0.449947714805603},{"id":"https://openalex.org/keywords/general-purpose-computing-on-graphics-processing-units","display_name":"General-purpose computing on graphics processing units","score":0.4303654730319977},{"id":"https://openalex.org/keywords/pattern-recognition","display_name":"Pattern recognition (psychology)","score":0.33473896980285645},{"id":"https://openalex.org/keywords/image","display_name":"Image (mathematics)","score":0.27120155096054077},{"id":"https://openalex.org/keywords/computer-graphics","display_name":"Computer graphics (images)","score":0.2059914767742157},{"id":"https://openalex.org/keywords/parallel-computing","display_name":"Parallel computing","score":0.08338966965675354},{"id":"https://openalex.org/keywords/graphics","display_name":"Graphics","score":0.05859774351119995}],"concepts":[{"id":"https://openalex.org/C2778119891","wikidata":"https://www.wikidata.org/wiki/Q477690","display_name":"CUDA","level":2,"score":0.8523743152618408},{"id":"https://openalex.org/C53533937","wikidata":"https://www.wikidata.org/wiki/Q185020","display_name":"Histogram","level":3,"score":0.8453390598297119},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.833338737487793},{"id":"https://openalex.org/C2776401178","wikidata":"https://www.wikidata.org/wiki/Q12050496","display_name":"Feature (linguistics)","level":2,"score":0.6526004076004028},{"id":"https://openalex.org/C17426736","wikidata":"https://www.wikidata.org/wiki/Q419918","display_name":"Histogram of oriented gradients","level":4,"score":0.5925033688545227},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.5685875415802002},{"id":"https://openalex.org/C165696696","wikidata":"https://www.wikidata.org/wiki/Q11287","display_name":"Exploit","level":2,"score":0.5611530542373657},{"id":"https://openalex.org/C31972630","wikidata":"https://www.wikidata.org/wiki/Q844240","display_name":"Computer vision","level":1,"score":0.5075315237045288},{"id":"https://openalex.org/C52622490","wikidata":"https://www.wikidata.org/wiki/Q1026626","display_name":"Feature extraction","level":2,"score":0.4764435887336731},{"id":"https://openalex.org/C2776151529","wikidata":"https://www.wikidata.org/wiki/Q3045304","display_name":"Object detection","level":3,"score":0.449947714805603},{"id":"https://openalex.org/C50630238","wikidata":"https://www.wikidata.org/wiki/Q971505","display_name":"General-purpose computing on graphics processing units","level":3,"score":0.4303654730319977},{"id":"https://openalex.org/C153180895","wikidata":"https://www.wikidata.org/wiki/Q7148389","display_name":"Pattern recognition (psychology)","level":2,"score":0.33473896980285645},{"id":"https://openalex.org/C115961682","wikidata":"https://www.wikidata.org/wiki/Q860623","display_name":"Image (mathematics)","level":2,"score":0.27120155096054077},{"id":"https://openalex.org/C121684516","wikidata":"https://www.wikidata.org/wiki/Q7600677","display_name":"Computer graphics (images)","level":1,"score":0.2059914767742157},{"id":"https://openalex.org/C173608175","wikidata":"https://www.wikidata.org/wiki/Q232661","display_name":"Parallel computing","level":1,"score":0.08338966965675354},{"id":"https://openalex.org/C21442007","wikidata":"https://www.wikidata.org/wiki/Q1027879","display_name":"Graphics","level":2,"score":0.05859774351119995},{"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/C38652104","wikidata":"https://www.wikidata.org/wiki/Q3510521","display_name":"Computer security","level":1,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/icacci.2013.6637456","is_oa":false,"landing_page_url":"https://doi.org/10.1109/icacci.2013.6637456","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2013 International Conference on Advances in Computing, Communications and Informatics (ICACCI)","raw_type":"proceedings-article"}],"best_oa_location":null,"sustainable_development_goals":[],"awards":[],"funders":[],"has_content":{"grobid_xml":false,"pdf":false},"content_urls":null,"referenced_works_count":10,"referenced_works":["https://openalex.org/W1501067705","https://openalex.org/W1627400044","https://openalex.org/W2033574012","https://openalex.org/W2060422862","https://openalex.org/W2062874246","https://openalex.org/W2099606917","https://openalex.org/W2116516796","https://openalex.org/W2160821342","https://openalex.org/W6630014812","https://openalex.org/W6636759986"],"related_works":["https://openalex.org/W1963859303","https://openalex.org/W2364044215","https://openalex.org/W2389600408","https://openalex.org/W240129890","https://openalex.org/W3048701459","https://openalex.org/W2149078538","https://openalex.org/W2080146221","https://openalex.org/W2370314112","https://openalex.org/W1912958759","https://openalex.org/W2792081825"],"abstract_inverted_index":{"This":[0],"paper":[1],"presents":[2],"an":[3,24,95],"automated":[4],"video":[5],"surveillance":[6,40,62,99],"system":[7,63],"which":[8],"deals":[9],"with":[10],"content":[11],"monitoring":[12,37],"and":[13,30,64,78,118],"activity":[14],"change":[15],"in":[16,38,98],"the":[17,34,39,46,49,53,74,104,107],"environment.":[18],"We":[19,101],"use":[20],"Viewpoint":[21,87,108],"Feature":[22,88,109],"Histogram,":[23],"image":[25,96],"descriptor":[26,97],"for":[27,33,112,127],"object":[28],"recognition":[29],"pose":[31],"estimation":[32],"purpose":[35],"of":[36,48,61,106],"system.":[41],"In":[42],"order":[43],"to":[44,56,120],"enhance":[45],"performance":[47,105],"system,":[50],"we":[51],"exploit":[52],"GPU":[54,117,123],"architecture":[55],"perform":[57],"data":[58,76,114],"intensive":[59],"task":[60],"implement":[65],"it":[66],"on":[67,73,116],"CUDA-enabled":[68],"devices.":[69],"The":[70],"experimental":[71],"evaluation":[72],"static":[75],"sets":[77,115],"live":[79],"scenes":[80],"captured":[81],"from":[82],"Microsoft":[83],"Kinect":[84],"show":[85],"that":[86,122],"Histogram":[89,110],"can":[90],"be":[91],"successfully":[92],"used":[93],"as":[94],"systems.":[100],"also":[102],"test":[103],"generation":[111],"different":[113],"CPU":[119,126],"conclude":[121],"clearly":[124],"outperforms":[125],"larger":[128],"datasets.":[129]},"counts_by_year":[{"year":2020,"cited_by_count":1},{"year":2018,"cited_by_count":3},{"year":2016,"cited_by_count":2}],"updated_date":"2025-11-06T03:46:38.306776","created_date":"2025-10-10T00:00:00"}