{"id":"https://openalex.org/W2101282949","doi":"https://doi.org/10.1109/wacv.2009.5403129","title":"Video object detection speedup using staggered sampling","display_name":"Video object detection speedup using staggered sampling","publication_year":2009,"publication_date":"2009-12-01","ids":{"openalex":"https://openalex.org/W2101282949","doi":"https://doi.org/10.1109/wacv.2009.5403129","mag":"2101282949"},"language":"en","primary_location":{"id":"doi:10.1109/wacv.2009.5403129","is_oa":false,"landing_page_url":"https://doi.org/10.1109/wacv.2009.5403129","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2009 Workshop on Applications of Computer Vision (WACV)","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/A5007352834","display_name":"Darryl Greig","orcid":null},"institutions":[{"id":"https://openalex.org/I4210156325","display_name":"Hewlett-Packard (United Kingdom)","ror":"https://ror.org/05g4mtv59","country_code":"GB","type":"company","lineage":["https://openalex.org/I1324840837","https://openalex.org/I4210156325"]},{"id":"https://openalex.org/I1324840837","display_name":"Hewlett-Packard (United States)","ror":"https://ror.org/059rn9488","country_code":"US","type":"company","lineage":["https://openalex.org/I1324840837"]}],"countries":["GB","US"],"is_corresponding":true,"raw_author_name":"Darryl Greig","raw_affiliation_strings":["Hewlett Packard Laboratories, Bristol, UK","Hewlett Packard Labs, Long Down Ave, Bristol BS34 8QZ, UK"],"affiliations":[{"raw_affiliation_string":"Hewlett Packard Laboratories, Bristol, UK","institution_ids":["https://openalex.org/I4210156325"]},{"raw_affiliation_string":"Hewlett Packard Labs, Long Down Ave, Bristol BS34 8QZ, UK","institution_ids":["https://openalex.org/I1324840837"]}]}],"institutions":[],"countries_distinct_count":2,"institutions_distinct_count":1,"corresponding_author_ids":["https://openalex.org/A5007352834"],"corresponding_institution_ids":["https://openalex.org/I1324840837","https://openalex.org/I4210156325"],"apc_list":null,"apc_paid":null,"fwci":1.9414,"has_fulltext":false,"cited_by_count":10,"citation_normalized_percentile":{"value":0.87685538,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":89,"max":96},"biblio":{"volume":null,"issue":null,"first_page":"1","last_page":"7"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10331","display_name":"Video Surveillance and Tracking Methods","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/T10331","display_name":"Video Surveillance and Tracking Methods","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/T10627","display_name":"Advanced Image and Video Retrieval Techniques","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/T10057","display_name":"Face and Expression Recognition","score":0.996999979019165,"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/computer-science","display_name":"Computer science","score":0.7957980632781982},{"id":"https://openalex.org/keywords/robustness","display_name":"Robustness (evolution)","score":0.7149169445037842},{"id":"https://openalex.org/keywords/computer-vision","display_name":"Computer vision","score":0.6999719142913818},{"id":"https://openalex.org/keywords/detector","display_name":"Detector","score":0.6641011238098145},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.6409155130386353},{"id":"https://openalex.org/keywords/video-tracking","display_name":"Video tracking","score":0.5885873436927795},{"id":"https://openalex.org/keywords/sampling","display_name":"Sampling (signal processing)","score":0.5852981805801392},{"id":"https://openalex.org/keywords/object-detection","display_name":"Object detection","score":0.5036618113517761},{"id":"https://openalex.org/keywords/nonuniform-sampling","display_name":"Nonuniform sampling","score":0.4423360824584961},{"id":"https://openalex.org/keywords/speedup","display_name":"Speedup","score":0.4417101740837097},{"id":"https://openalex.org/keywords/filter","display_name":"Filter (signal processing)","score":0.37475717067718506},{"id":"https://openalex.org/keywords/video-processing","display_name":"Video processing","score":0.24821123480796814},{"id":"https://openalex.org/keywords/pattern-recognition","display_name":"Pattern recognition (psychology)","score":0.21505355834960938},{"id":"https://openalex.org/keywords/quantization","display_name":"Quantization (signal processing)","score":0.12664860486984253}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.7957980632781982},{"id":"https://openalex.org/C63479239","wikidata":"https://www.wikidata.org/wiki/Q7353546","display_name":"Robustness (evolution)","level":3,"score":0.7149169445037842},{"id":"https://openalex.org/C31972630","wikidata":"https://www.wikidata.org/wiki/Q844240","display_name":"Computer vision","level":1,"score":0.6999719142913818},{"id":"https://openalex.org/C94915269","wikidata":"https://www.wikidata.org/wiki/Q1834857","display_name":"Detector","level":2,"score":0.6641011238098145},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.6409155130386353},{"id":"https://openalex.org/C202474056","wikidata":"https://www.wikidata.org/wiki/Q1931635","display_name":"Video tracking","level":3,"score":0.5885873436927795},{"id":"https://openalex.org/C140779682","wikidata":"https://www.wikidata.org/wiki/Q210868","display_name":"Sampling (signal processing)","level":3,"score":0.5852981805801392},{"id":"https://openalex.org/C2776151529","wikidata":"https://www.wikidata.org/wiki/Q3045304","display_name":"Object detection","level":3,"score":0.5036618113517761},{"id":"https://openalex.org/C20326153","wikidata":"https://www.wikidata.org/wiki/Q7049638","display_name":"Nonuniform sampling","level":3,"score":0.4423360824584961},{"id":"https://openalex.org/C68339613","wikidata":"https://www.wikidata.org/wiki/Q1549489","display_name":"Speedup","level":2,"score":0.4417101740837097},{"id":"https://openalex.org/C106131492","wikidata":"https://www.wikidata.org/wiki/Q3072260","display_name":"Filter (signal processing)","level":2,"score":0.37475717067718506},{"id":"https://openalex.org/C65483669","wikidata":"https://www.wikidata.org/wiki/Q3536669","display_name":"Video processing","level":2,"score":0.24821123480796814},{"id":"https://openalex.org/C153180895","wikidata":"https://www.wikidata.org/wiki/Q7148389","display_name":"Pattern recognition (psychology)","level":2,"score":0.21505355834960938},{"id":"https://openalex.org/C28855332","wikidata":"https://www.wikidata.org/wiki/Q198099","display_name":"Quantization (signal processing)","level":2,"score":0.12664860486984253},{"id":"https://openalex.org/C76155785","wikidata":"https://www.wikidata.org/wiki/Q418","display_name":"Telecommunications","level":1,"score":0.0},{"id":"https://openalex.org/C104317684","wikidata":"https://www.wikidata.org/wiki/Q7187","display_name":"Gene","level":2,"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/C111919701","wikidata":"https://www.wikidata.org/wiki/Q9135","display_name":"Operating system","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}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/wacv.2009.5403129","is_oa":false,"landing_page_url":"https://doi.org/10.1109/wacv.2009.5403129","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2009 Workshop on Applications of Computer Vision (WACV)","raw_type":"proceedings-article"}],"best_oa_location":null,"sustainable_development_goals":[],"awards":[],"funders":[{"id":"https://openalex.org/F4320315813","display_name":"Queensland Cyber Infrastructure Foundation","ror":"https://ror.org/03sd43014"}],"has_content":{"grobid_xml":false,"pdf":false},"content_urls":null,"referenced_works_count":11,"referenced_works":["https://openalex.org/W1608462934","https://openalex.org/W2005807546","https://openalex.org/W2081202740","https://openalex.org/W2107985919","https://openalex.org/W2113624997","https://openalex.org/W2128838248","https://openalex.org/W2132103241","https://openalex.org/W2140274257","https://openalex.org/W2155511848","https://openalex.org/W2164598857","https://openalex.org/W2566703758"],"related_works":["https://openalex.org/W2965594636","https://openalex.org/W2392509758","https://openalex.org/W2355268223","https://openalex.org/W2057211638","https://openalex.org/W2952404111","https://openalex.org/W4300513038","https://openalex.org/W4230275079","https://openalex.org/W2349681020","https://openalex.org/W2050584995","https://openalex.org/W2371233233"],"abstract_inverted_index":{"This":[0],"paper":[1],"presents":[2],"an":[3,159,185],"enhancement":[4,187],"of":[5,38,81,117,120,132,142,154,169,180],"the":[6,28,36,82,86,104,118,127,133,137,140,143,152,170],"standard":[7],"sampling":[8,29,112,123,148],"strategy":[9],"for":[10],"filter-based":[11,66],"object":[12,67,160,191],"detection":[13,192],"and":[14,58,89,178],"tracking":[15,70,92,161],"in":[16,62,85,158],"video":[17,32,101,171,190],"streams.":[18],"The":[19,47,94,146,176],"proposed":[20],"method,":[21],"called":[22],"staggered":[23,111,147],"sampling,":[24],"seeks":[25],"to":[26,52,99,173,188],"maximize":[27],"density":[30],"across":[31],"frames,":[33],"thus":[34],"reducing":[35],"number":[37],"patches":[39],"sampled":[40],"while":[41,124],"retaining":[42],"proportionally":[43],"high":[44],"recall":[45,119],"rates.":[46],"method":[48,76],"can":[49,113],"be":[50,60],"tailored":[51],"virtually":[53],"any":[54,65],"constraint":[55],"on":[56,129],"resources":[57],"may":[59],"used":[61],"conjunction":[63],"with":[64],"detector":[68,84,96,128,144],"/":[69],"algorithm":[71],"combination.":[72],"We":[73],"test":[74],"our":[75],"using":[77],"a":[78,90,165],"modified":[79],"version":[80],"face":[83],"OpenCV":[87],"library":[88],"simple":[91],"algorithm.":[93],"resulting":[95],"was":[97],"applied":[98],"some":[100],"sequences":[102],"from":[103],"QCIF":[105],"collection.":[106],"Our":[107],"results":[108],"show":[109],"that":[110],"achieve":[114],"around":[115,130],"90%":[116],"full":[121],"(dense)":[122],"only":[125],"evaluating":[126],"10%":[131],"image":[134],"locations.":[135],"At":[136],"same":[138],"time":[139],"precision":[141],"increases.":[145],"approach":[149,182],"therefore":[150],"addresses":[151],"problem":[153],"acquiring":[155],"new":[156],"objects":[157],"framework":[162],"by":[163],"enabling":[164],"low-cost":[166],"background":[167],"scan":[168],"stream":[172],"run":[174],"continuously.":[175],"simplicity":[177],"robustness":[179],"this":[181],"make":[183],"it":[184],"excellent":[186],"existing":[189],"methods.":[193]},"counts_by_year":[{"year":2023,"cited_by_count":1},{"year":2018,"cited_by_count":1},{"year":2015,"cited_by_count":1},{"year":2014,"cited_by_count":1},{"year":2012,"cited_by_count":2}],"updated_date":"2025-11-06T03:46:38.306776","created_date":"2025-10-10T00:00:00"}
