{"id":"https://openalex.org/W1973099395","doi":"https://doi.org/10.1145/1099396.1099421","title":"Constructing task visibility intervals for a surveillance system","display_name":"Constructing task visibility intervals for a surveillance system","publication_year":2005,"publication_date":"2005-11-11","ids":{"openalex":"https://openalex.org/W1973099395","doi":"https://doi.org/10.1145/1099396.1099421","mag":"1973099395"},"language":"en","primary_location":{"id":"doi:10.1145/1099396.1099421","is_oa":false,"landing_page_url":"https://doi.org/10.1145/1099396.1099421","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Proceedings of the third ACM international workshop on Video surveillance & sensor networks","raw_type":"proceedings-article"},"type":"conference-paper","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/A5113969216","display_name":"Ser-Nam Lim","orcid":"https://orcid.org/0000-0001-9525-0288"},"institutions":[{"id":"https://openalex.org/I66946132","display_name":"University of Maryland, College Park","ror":"https://ror.org/047s2c258","country_code":"US","type":"education","lineage":["https://openalex.org/I66946132"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Ser-Nam Lim","raw_affiliation_strings":["University of Maryland, College Park, MD"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"University of Maryland, College Park, MD","institution_ids":["https://openalex.org/I66946132"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5085648720","display_name":"Anurag Mittal","orcid":"https://orcid.org/0000-0002-7797-9574"},"institutions":[{"id":"https://openalex.org/I4210137693","display_name":"Siemens (United States)","ror":"https://ror.org/04axb7e79","country_code":"US","type":"company","lineage":["https://openalex.org/I1325886976","https://openalex.org/I4210137693"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Anurag Mittal","raw_affiliation_strings":["Siemens Corporate Research, Princeton, NJ"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Siemens Corporate Research, Princeton, NJ","institution_ids":["https://openalex.org/I4210137693"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5111454036","display_name":"Larry S. Davis","orcid":null},"institutions":[{"id":"https://openalex.org/I66946132","display_name":"University of Maryland, College Park","ror":"https://ror.org/047s2c258","country_code":"US","type":"education","lineage":["https://openalex.org/I66946132"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Larry Davis","raw_affiliation_strings":["University of Maryland, College Park, MD"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"University of Maryland, College Park, MD","institution_ids":["https://openalex.org/I66946132"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":2,"corresponding_author_ids":[],"corresponding_institution_ids":[],"apc_list":null,"apc_paid":null,"fwci":0.513,"has_fulltext":false,"cited_by_count":10,"citation_normalized_percentile":{"value":0.59953352,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":89,"max":95},"biblio":{"volume":null,"issue":null,"first_page":"141","last_page":"148"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10331","display_name":"Video Surveillance and Tracking Methods","score":0.9998000264167786,"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"}},"topics":[{"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/T10531","display_name":"Advanced Vision and Imaging","score":0.9986000061035156,"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/T10812","display_name":"Human Pose and Action Recognition","score":0.9940000176429749,"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-vision","display_name":"Computer vision","score":0.786683976650238},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.7332155704498291},{"id":"https://openalex.org/keywords/visibility","display_name":"Visibility","score":0.6803669929504395},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.6699258089065552},{"id":"https://openalex.org/keywords/task","display_name":"Task (project management)","score":0.6022420525550842},{"id":"https://openalex.org/keywords/object","display_name":"Object (grammar)","score":0.529657781124115},{"id":"https://openalex.org/keywords/field-of-view","display_name":"Field of view","score":0.44151005148887634},{"id":"https://openalex.org/keywords/geography","display_name":"Geography","score":0.10983556509017944}],"concepts":[{"id":"https://openalex.org/C31972630","wikidata":"https://www.wikidata.org/wiki/Q844240","display_name":"Computer vision","level":1,"score":0.786683976650238},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.7332155704498291},{"id":"https://openalex.org/C123403432","wikidata":"https://www.wikidata.org/wiki/Q654068","display_name":"Visibility","level":2,"score":0.6803669929504395},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.6699258089065552},{"id":"https://openalex.org/C2780451532","wikidata":"https://www.wikidata.org/wiki/Q759676","display_name":"Task (project management)","level":2,"score":0.6022420525550842},{"id":"https://openalex.org/C2781238097","wikidata":"https://www.wikidata.org/wiki/Q175026","display_name":"Object (grammar)","level":2,"score":0.529657781124115},{"id":"https://openalex.org/C150627866","wikidata":"https://www.wikidata.org/wiki/Q1076893","display_name":"Field of view","level":2,"score":0.44151005148887634},{"id":"https://openalex.org/C205649164","wikidata":"https://www.wikidata.org/wiki/Q1071","display_name":"Geography","level":0,"score":0.10983556509017944},{"id":"https://openalex.org/C162324750","wikidata":"https://www.wikidata.org/wiki/Q8134","display_name":"Economics","level":0,"score":0.0},{"id":"https://openalex.org/C187736073","wikidata":"https://www.wikidata.org/wiki/Q2920921","display_name":"Management","level":1,"score":0.0},{"id":"https://openalex.org/C153294291","wikidata":"https://www.wikidata.org/wiki/Q25261","display_name":"Meteorology","level":1,"score":0.0}],"mesh":[],"locations_count":2,"locations":[{"id":"doi:10.1145/1099396.1099421","is_oa":false,"landing_page_url":"https://doi.org/10.1145/1099396.1099421","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Proceedings of the third ACM international workshop on Video surveillance & sensor networks","raw_type":"proceedings-article"},{"id":"pmh:oai:CiteSeerX.psu:10.1.1.154.4522","is_oa":false,"landing_page_url":"http://citeseerx.ist.psu.edu/viewdoc/summary?doi=10.1.1.154.4522","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":"http://www.umiacs.umd.edu/users/sernam/papers/acmmmsj.pdf","raw_type":"text"}],"best_oa_location":null,"sustainable_development_goals":[],"awards":[],"funders":[],"has_content":{"grobid_xml":false,"pdf":false},"content_urls":null,"referenced_works_count":20,"referenced_works":["https://openalex.org/W1564833521","https://openalex.org/W2000943910","https://openalex.org/W2008056024","https://openalex.org/W2025844054","https://openalex.org/W2033819227","https://openalex.org/W2102625004","https://openalex.org/W2105934661","https://openalex.org/W2109514082","https://openalex.org/W2113117178","https://openalex.org/W2121437633","https://openalex.org/W2124313166","https://openalex.org/W2130165351","https://openalex.org/W2132103241","https://openalex.org/W2135273192","https://openalex.org/W2143170311","https://openalex.org/W2161406034","https://openalex.org/W3021282624","https://openalex.org/W3140487949","https://openalex.org/W3161434670","https://openalex.org/W6676469911"],"related_works":["https://openalex.org/W2392812199","https://openalex.org/W4200176076","https://openalex.org/W598185802","https://openalex.org/W2355516524","https://openalex.org/W2361471170","https://openalex.org/W2025616642","https://openalex.org/W1954972543","https://openalex.org/W2732813147","https://openalex.org/W2143460112","https://openalex.org/W2042906257"],"abstract_inverted_index":{"One":[0],"of":[1,4,15,31,33,57,104],"the":[2,18,22,29,34,85,101,110,114,135,143],"goals":[3],"a":[5,74,157],"multi-camera":[6],"surveillance":[7],"system":[8,144],"is":[9],"to":[10,61,66,72,78,82,117,141],"collect":[11],"useful":[12],"video":[13],"clips":[14],"objects":[16,105],"in":[17,21,28,146],"scene.":[19],"Objects":[20],"collected":[23],"videos":[24],"should":[25],"be":[26,118],"unobstructed,":[27],"field":[30],"view":[32],"given":[35,115],"camera,":[36],"and":[37,76,84,89],"meet":[38],"task-specific":[39],"resolution":[40],"requirement.":[41],"For":[42],"this":[43],"purpose,":[44],"we":[45],"describe":[46],"an":[47],"algorithm":[48,93],"that":[49,128],"constructs":[50],"\"task":[51],"visibility":[52,150],"intervals\",":[53],"which":[54,100],"are":[55,124,139],"tuples":[56],"information":[58],"about":[59],"what":[60],"sense":[62,67,79],"(task-object":[63],"pairs),":[64],"when":[65],"(feasible":[68],"future":[69],"temporal":[70,97],"intervals":[71,98],"start":[73],"task)":[75],"how":[77],"(the":[80],"camera":[81,116,130],"use":[83],"corresponding":[86],"viewing":[87],"angles":[88],"focal":[90],"length).":[91],"The":[92],"first":[94],"looks":[95],"for":[96,133],"within":[99],"angular":[102],"extents":[103],"overlap":[106],"each":[107],"other,":[108],"causing":[109],"object":[111],"farthest":[112],"from":[113],"occluded.":[119],"Outside":[120],"these":[121],"intervals,":[122,151],"sub-intervals":[123],"then":[125],"constructed":[126],"such":[127,148],"feasible":[129],"settings":[131],"exist":[132],"capturing":[134],"object.":[136],"Experimental":[137],"results":[138],"provided":[140],"illustrate":[142],"capabilities":[145],"constructing":[147],"task":[149],"followed":[152],"by":[153],"scheduling":[154],"them":[155],"using":[156],"greedy":[158],"algorithm.":[159]},"counts_by_year":[{"year":2025,"cited_by_count":1},{"year":2014,"cited_by_count":1},{"year":2012,"cited_by_count":1}],"updated_date":"2026-07-29T14:22:42.915294","created_date":"2025-10-10T00:00:00"}