{"id":"https://openalex.org/W2031266509","doi":"https://doi.org/10.1145/1026799.1026806","title":"Adaptive visual object surveillance with continuously moving panning camera","display_name":"Adaptive visual object surveillance with continuously moving panning camera","publication_year":2004,"publication_date":"2004-10-15","ids":{"openalex":"https://openalex.org/W2031266509","doi":"https://doi.org/10.1145/1026799.1026806","mag":"2031266509"},"language":"en","primary_location":{"id":"doi:10.1145/1026799.1026806","is_oa":false,"landing_page_url":"https://doi.org/10.1145/1026799.1026806","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Proceedings of the ACM 2nd international workshop on Video surveillance & sensor networks","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/A5106072900","display_name":"Kam-Yiu Lam","orcid":"https://orcid.org/0000-0003-0673-3566"},"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":"Kam-Yiu Lam","raw_affiliation_strings":["City University of Hong Kong, Hong Kong"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"City University of Hong Kong, Hong Kong","institution_ids":["https://openalex.org/I168719708"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5079909444","display_name":"Calvin K. H. Chiu","orcid":null},"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":"Calvin K. H. Chiu","raw_affiliation_strings":["City University of Hong Kong, Hong Kong"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"City University of Hong Kong, Hong Kong","institution_ids":["https://openalex.org/I168719708"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":2,"corresponding_author_ids":[],"corresponding_institution_ids":[],"apc_list":null,"apc_paid":null,"fwci":1.9337,"has_fulltext":false,"cited_by_count":9,"citation_normalized_percentile":{"value":0.86769649,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":90,"max":94},"biblio":{"volume":null,"issue":null,"first_page":"29","last_page":"38"},"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/T10531","display_name":"Advanced Vision and Imaging","score":0.9959999918937683,"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/T11165","display_name":"Image and Video Quality Assessment","score":0.9940999746322632,"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/panning","display_name":"Panning (audio)","score":0.9517251253128052},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.8014477491378784},{"id":"https://openalex.org/keywords/computer-vision","display_name":"Computer vision","score":0.7070573568344116},{"id":"https://openalex.org/keywords/workload","display_name":"Workload","score":0.6423603892326355},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.6140597462654114},{"id":"https://openalex.org/keywords/visibility","display_name":"Visibility","score":0.5608599185943604},{"id":"https://openalex.org/keywords/pixel","display_name":"Pixel","score":0.553298830986023},{"id":"https://openalex.org/keywords/object","display_name":"Object (grammar)","score":0.529140293598175},{"id":"https://openalex.org/keywords/object-detection","display_name":"Object detection","score":0.523944616317749},{"id":"https://openalex.org/keywords/real-time-computing","display_name":"Real-time computing","score":0.47641098499298096},{"id":"https://openalex.org/keywords/video-tracking","display_name":"Video tracking","score":0.4761110246181488},{"id":"https://openalex.org/keywords/visualization","display_name":"Visualization","score":0.4577847719192505},{"id":"https://openalex.org/keywords/scheme","display_name":"Scheme (mathematics)","score":0.44009560346603394},{"id":"https://openalex.org/keywords/pattern-recognition","display_name":"Pattern recognition (psychology)","score":0.1041131317615509},{"id":"https://openalex.org/keywords/engineering","display_name":"Engineering","score":0.09634590148925781}],"concepts":[{"id":"https://openalex.org/C108944566","wikidata":"https://www.wikidata.org/wiki/Q1524510","display_name":"Panning (audio)","level":4,"score":0.9517251253128052},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.8014477491378784},{"id":"https://openalex.org/C31972630","wikidata":"https://www.wikidata.org/wiki/Q844240","display_name":"Computer vision","level":1,"score":0.7070573568344116},{"id":"https://openalex.org/C2778476105","wikidata":"https://www.wikidata.org/wiki/Q628539","display_name":"Workload","level":2,"score":0.6423603892326355},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.6140597462654114},{"id":"https://openalex.org/C123403432","wikidata":"https://www.wikidata.org/wiki/Q654068","display_name":"Visibility","level":2,"score":0.5608599185943604},{"id":"https://openalex.org/C160633673","wikidata":"https://www.wikidata.org/wiki/Q355198","display_name":"Pixel","level":2,"score":0.553298830986023},{"id":"https://openalex.org/C2781238097","wikidata":"https://www.wikidata.org/wiki/Q175026","display_name":"Object (grammar)","level":2,"score":0.529140293598175},{"id":"https://openalex.org/C2776151529","wikidata":"https://www.wikidata.org/wiki/Q3045304","display_name":"Object detection","level":3,"score":0.523944616317749},{"id":"https://openalex.org/C79403827","wikidata":"https://www.wikidata.org/wiki/Q3988","display_name":"Real-time computing","level":1,"score":0.47641098499298096},{"id":"https://openalex.org/C202474056","wikidata":"https://www.wikidata.org/wiki/Q1931635","display_name":"Video tracking","level":3,"score":0.4761110246181488},{"id":"https://openalex.org/C36464697","wikidata":"https://www.wikidata.org/wiki/Q451553","display_name":"Visualization","level":2,"score":0.4577847719192505},{"id":"https://openalex.org/C77618280","wikidata":"https://www.wikidata.org/wiki/Q1155772","display_name":"Scheme (mathematics)","level":2,"score":0.44009560346603394},{"id":"https://openalex.org/C153180895","wikidata":"https://www.wikidata.org/wiki/Q7148389","display_name":"Pattern recognition (psychology)","level":2,"score":0.1041131317615509},{"id":"https://openalex.org/C127413603","wikidata":"https://www.wikidata.org/wiki/Q11023","display_name":"Engineering","level":0,"score":0.09634590148925781},{"id":"https://openalex.org/C78762247","wikidata":"https://www.wikidata.org/wiki/Q1273174","display_name":"Petroleum engineering","level":1,"score":0.0},{"id":"https://openalex.org/C134306372","wikidata":"https://www.wikidata.org/wiki/Q7754","display_name":"Mathematical analysis","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/C120665830","wikidata":"https://www.wikidata.org/wiki/Q14620","display_name":"Optics","level":1,"score":0.0},{"id":"https://openalex.org/C124913957","wikidata":"https://www.wikidata.org/wiki/Q1232548","display_name":"Zoom","level":3,"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/C15336307","wikidata":"https://www.wikidata.org/wiki/Q1766051","display_name":"Lens (geology)","level":2,"score":0.0},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1145/1026799.1026806","is_oa":false,"landing_page_url":"https://doi.org/10.1145/1026799.1026806","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Proceedings of the ACM 2nd international workshop on Video surveillance & sensor networks","raw_type":"proceedings-article"}],"best_oa_location":null,"sustainable_development_goals":[{"display_name":"Decent work and economic growth","score":0.5699999928474426,"id":"https://metadata.un.org/sdg/8"}],"awards":[],"funders":[],"has_content":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":10,"referenced_works":["https://openalex.org/W195661874","https://openalex.org/W1629155867","https://openalex.org/W2096343094","https://openalex.org/W2105238356","https://openalex.org/W2111247507","https://openalex.org/W2140235142","https://openalex.org/W2165715280","https://openalex.org/W2169805580","https://openalex.org/W3003662786","https://openalex.org/W4285719527"],"related_works":["https://openalex.org/W2591723141","https://openalex.org/W2053430337","https://openalex.org/W2785782068","https://openalex.org/W2032030284","https://openalex.org/W4300189336","https://openalex.org/W3046792021","https://openalex.org/W3169342585","https://openalex.org/W2159773886","https://openalex.org/W2744841575","https://openalex.org/W2965594636"],"abstract_inverted_index":{"In":[0,82],"this":[1],"paper,":[2],"we":[3,44,102],"study":[4],"the":[5,9,40,57,60,80,90,96,100,107,130,141,145,150,158,162,183,205],"important":[6],"issues":[7],"in":[8,19,34,95,113,161],"design":[10],"of":[11,32,59,65,93],"an":[12],"efficient":[13],"wireless":[14],"visual":[15,53,68],"surveillance":[16],"system":[17],"(WISE)":[18],"which":[20],"a":[21,35,46,114],"continuously":[22],"moving":[23],"panning":[24,66,115,163],"camera":[25],"is":[26,186],"installed":[27],"to":[28,63,76,89,106,139],"capture":[29],"real-time":[30],"status":[31],"objects":[33,54,94],"monitoring":[36],"environment.":[37,97],"To":[38,98],"minimize":[39],"object":[41,69,159],"evaluation":[42,50,70,109,112,142,184],"workload,":[43],"propose":[45,103],"predictive":[47,108],"scheme":[48,110],"for":[49,111,134],"on":[51,56],"detected":[52,196],"based":[55],"movement":[58,64],"objects.":[61],"Due":[62],"camera,":[67,116],"jobs":[71],"may":[72,86],"not":[73],"be":[74,77,195],"able":[75],"performed":[78],"following":[79],"prediction.":[81],"addition,":[83],"overloading":[84],"situations":[85],"occur":[87],"due":[88],"dynamic":[91],"properties":[92],"resolve":[99],"problems,":[101],"two":[104],"enhancements":[105],"called":[117],"Dynamic":[118],"Multi-Resolution":[119],"Analysis":[120],"(DURA)":[121],"and":[122,171,190,200],"Load-Aware":[123],"Job":[124],"re-Arrangement":[125],"(LAJA).":[126],"DURA":[127,201],"adaptively":[128],"reduces":[129],"pixel-level":[131],"processing":[132],"cost":[133],"tracking":[135],"while":[136],"LAJA":[137,199],"aims":[138],"balance":[140],"loading":[143],"at":[144,204],"mobile":[146],"computing":[147],"device":[148],"throughout":[149],"execution":[151],"period":[152],"by":[153],"job":[154],"re-arrangement":[155],"after":[156],"considering":[157],"visibility":[160],"camera.":[164],"The":[165,179],"proposed":[166],"schemes":[167],"have":[168],"been":[169,175],"implemented":[170],"their":[172],"performance":[173],"has":[174],"investigated":[176],"through":[177],"simulation.":[178],"results":[180],"show":[181],"that":[182],"workload":[185],"more":[187,191],"evenly":[188],"distributed":[189],"interested":[192],"events":[193],"can":[194],"when":[197],"both":[198],"are":[202],"applied":[203],"same":[206],"time.":[207]},"counts_by_year":[{"year":2012,"cited_by_count":1}],"updated_date":"2026-06-11T09:08:48.828518","created_date":"2025-10-10T00:00:00"}