{"id":"https://openalex.org/W2156185807","doi":"https://doi.org/10.1109/cvpr.1988.196309","title":"A tree search algorithm for target detection in image sequences","display_name":"A tree search algorithm for target detection in image sequences","publication_year":2003,"publication_date":"2003-01-06","ids":{"openalex":"https://openalex.org/W2156185807","doi":"https://doi.org/10.1109/cvpr.1988.196309","mag":"2156185807"},"language":"en","primary_location":{"id":"doi:10.1109/cvpr.1988.196309","is_oa":false,"landing_page_url":"https://doi.org/10.1109/cvpr.1988.196309","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Proceedings CVPR '88: The Computer Society Conference on Computer Vision and Pattern Recognition","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/A5023248368","display_name":"Steven D. Blostein","orcid":"https://orcid.org/0000-0001-5908-8746"},"institutions":[{"id":"https://openalex.org/I157725225","display_name":"University of Illinois Urbana-Champaign","ror":"https://ror.org/047426m28","country_code":"US","type":"education","lineage":["https://openalex.org/I157725225"]}],"countries":["US"],"is_corresponding":true,"raw_author_name":"S.D. Blostein","raw_affiliation_strings":["Coordinated Science Laboratory, University of Illinois, Urbana, IL, USA"],"affiliations":[{"raw_affiliation_string":"Coordinated Science Laboratory, University of Illinois, Urbana, IL, USA","institution_ids":["https://openalex.org/I157725225"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5101457342","display_name":"Thomas S. Huang","orcid":"https://orcid.org/0000-0001-8474-5859"},"institutions":[{"id":"https://openalex.org/I157725225","display_name":"University of Illinois Urbana-Champaign","ror":"https://ror.org/047426m28","country_code":"US","type":"education","lineage":["https://openalex.org/I157725225"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"T.S. Huang","raw_affiliation_strings":["Coordinated Science Laboratory, University of Illinois, Urbana, IL, USA"],"affiliations":[{"raw_affiliation_string":"Coordinated Science Laboratory, University of Illinois, Urbana, IL, USA","institution_ids":["https://openalex.org/I157725225"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":2,"corresponding_author_ids":["https://openalex.org/A5023248368"],"corresponding_institution_ids":["https://openalex.org/I157725225"],"apc_list":null,"apc_paid":null,"fwci":2.3026,"has_fulltext":false,"cited_by_count":13,"citation_normalized_percentile":{"value":0.8970569,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":89,"max":94},"biblio":{"volume":null,"issue":null,"first_page":"690","last_page":"695"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T11871","display_name":"Advanced Statistical Methods and Models","score":0.9957000017166138,"subfield":{"id":"https://openalex.org/subfields/2613","display_name":"Statistics and Probability"},"field":{"id":"https://openalex.org/fields/26","display_name":"Mathematics"},"domain":{"id":"https://openalex.org/domains/3","display_name":"Physical Sciences"}},"topics":[{"id":"https://openalex.org/T11871","display_name":"Advanced Statistical Methods and Models","score":0.9957000017166138,"subfield":{"id":"https://openalex.org/subfields/2613","display_name":"Statistics and Probability"},"field":{"id":"https://openalex.org/fields/26","display_name":"Mathematics"},"domain":{"id":"https://openalex.org/domains/3","display_name":"Physical Sciences"}},{"id":"https://openalex.org/T14257","display_name":"Advanced Measurement and Detection Methods","score":0.9779999852180481,"subfield":{"id":"https://openalex.org/subfields/2208","display_name":"Electrical and Electronic Engineering"},"field":{"id":"https://openalex.org/fields/22","display_name":"Engineering"},"domain":{"id":"https://openalex.org/domains/3","display_name":"Physical Sciences"}},{"id":"https://openalex.org/T10711","display_name":"Target Tracking and Data Fusion in Sensor Networks","score":0.9645000100135803,"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"}}],"keywords":[{"id":"https://openalex.org/keywords/clutter","display_name":"Clutter","score":0.8198909759521484},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.6351959109306335},{"id":"https://openalex.org/keywords/sequence","display_name":"Sequence (biology)","score":0.6175563335418701},{"id":"https://openalex.org/keywords/tree","display_name":"Tree (set theory)","score":0.6074575781822205},{"id":"https://openalex.org/keywords/pixel","display_name":"Pixel","score":0.5881038904190063},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.5877184867858887},{"id":"https://openalex.org/keywords/set","display_name":"Set (abstract data type)","score":0.5855236053466797},{"id":"https://openalex.org/keywords/frame","display_name":"Frame (networking)","score":0.5680091381072998},{"id":"https://openalex.org/keywords/computer-vision","display_name":"Computer vision","score":0.49928808212280273},{"id":"https://openalex.org/keywords/algorithm","display_name":"Algorithm","score":0.47296398878097534},{"id":"https://openalex.org/keywords/tree-structure","display_name":"Tree structure","score":0.42711877822875977},{"id":"https://openalex.org/keywords/noise","display_name":"Noise (video)","score":0.4138180911540985},{"id":"https://openalex.org/keywords/pattern-recognition","display_name":"Pattern recognition (psychology)","score":0.38752827048301697},{"id":"https://openalex.org/keywords/image","display_name":"Image (mathematics)","score":0.36125296354293823},{"id":"https://openalex.org/keywords/mathematics","display_name":"Mathematics","score":0.30239933729171753},{"id":"https://openalex.org/keywords/radar","display_name":"Radar","score":0.12326300144195557},{"id":"https://openalex.org/keywords/combinatorics","display_name":"Combinatorics","score":0.0995747447013855},{"id":"https://openalex.org/keywords/binary-tree","display_name":"Binary tree","score":0.08540761470794678}],"concepts":[{"id":"https://openalex.org/C132094186","wikidata":"https://www.wikidata.org/wiki/Q641585","display_name":"Clutter","level":3,"score":0.8198909759521484},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.6351959109306335},{"id":"https://openalex.org/C2778112365","wikidata":"https://www.wikidata.org/wiki/Q3511065","display_name":"Sequence (biology)","level":2,"score":0.6175563335418701},{"id":"https://openalex.org/C113174947","wikidata":"https://www.wikidata.org/wiki/Q2859736","display_name":"Tree (set theory)","level":2,"score":0.6074575781822205},{"id":"https://openalex.org/C160633673","wikidata":"https://www.wikidata.org/wiki/Q355198","display_name":"Pixel","level":2,"score":0.5881038904190063},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.5877184867858887},{"id":"https://openalex.org/C177264268","wikidata":"https://www.wikidata.org/wiki/Q1514741","display_name":"Set (abstract data type)","level":2,"score":0.5855236053466797},{"id":"https://openalex.org/C126042441","wikidata":"https://www.wikidata.org/wiki/Q1324888","display_name":"Frame (networking)","level":2,"score":0.5680091381072998},{"id":"https://openalex.org/C31972630","wikidata":"https://www.wikidata.org/wiki/Q844240","display_name":"Computer vision","level":1,"score":0.49928808212280273},{"id":"https://openalex.org/C11413529","wikidata":"https://www.wikidata.org/wiki/Q8366","display_name":"Algorithm","level":1,"score":0.47296398878097534},{"id":"https://openalex.org/C163797641","wikidata":"https://www.wikidata.org/wiki/Q2067937","display_name":"Tree structure","level":3,"score":0.42711877822875977},{"id":"https://openalex.org/C99498987","wikidata":"https://www.wikidata.org/wiki/Q2210247","display_name":"Noise (video)","level":3,"score":0.4138180911540985},{"id":"https://openalex.org/C153180895","wikidata":"https://www.wikidata.org/wiki/Q7148389","display_name":"Pattern recognition (psychology)","level":2,"score":0.38752827048301697},{"id":"https://openalex.org/C115961682","wikidata":"https://www.wikidata.org/wiki/Q860623","display_name":"Image (mathematics)","level":2,"score":0.36125296354293823},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.30239933729171753},{"id":"https://openalex.org/C554190296","wikidata":"https://www.wikidata.org/wiki/Q47528","display_name":"Radar","level":2,"score":0.12326300144195557},{"id":"https://openalex.org/C114614502","wikidata":"https://www.wikidata.org/wiki/Q76592","display_name":"Combinatorics","level":1,"score":0.0995747447013855},{"id":"https://openalex.org/C197855036","wikidata":"https://www.wikidata.org/wiki/Q380172","display_name":"Binary tree","level":2,"score":0.08540761470794678},{"id":"https://openalex.org/C54355233","wikidata":"https://www.wikidata.org/wiki/Q7162","display_name":"Genetics","level":1,"score":0.0},{"id":"https://openalex.org/C199360897","wikidata":"https://www.wikidata.org/wiki/Q9143","display_name":"Programming language","level":1,"score":0.0},{"id":"https://openalex.org/C76155785","wikidata":"https://www.wikidata.org/wiki/Q418","display_name":"Telecommunications","level":1,"score":0.0},{"id":"https://openalex.org/C86803240","wikidata":"https://www.wikidata.org/wiki/Q420","display_name":"Biology","level":0,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/cvpr.1988.196309","is_oa":false,"landing_page_url":"https://doi.org/10.1109/cvpr.1988.196309","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Proceedings CVPR '88: The Computer Society Conference on Computer Vision and Pattern Recognition","raw_type":"proceedings-article"}],"best_oa_location":null,"sustainable_development_goals":[{"score":0.8100000023841858,"display_name":"Life below water","id":"https://metadata.un.org/sdg/14"}],"awards":[],"funders":[],"has_content":{"grobid_xml":false,"pdf":false},"content_urls":null,"referenced_works_count":13,"referenced_works":["https://openalex.org/W16066979","https://openalex.org/W576932136","https://openalex.org/W1600904012","https://openalex.org/W1974306404","https://openalex.org/W1981078114","https://openalex.org/W2008375185","https://openalex.org/W2014002306","https://openalex.org/W2045021643","https://openalex.org/W2066963803","https://openalex.org/W2156185807","https://openalex.org/W2172259820","https://openalex.org/W2489822048","https://openalex.org/W4244434047"],"related_works":["https://openalex.org/W2093885745","https://openalex.org/W2351266481","https://openalex.org/W2132547887","https://openalex.org/W2516987005","https://openalex.org/W2907786475","https://openalex.org/W2963447120","https://openalex.org/W4289082820","https://openalex.org/W2092152400","https://openalex.org/W2071459461","https://openalex.org/W2374869555"],"abstract_inverted_index":{"Given":[0],"a":[1,8,73,95],"time":[2,64],"sequence":[3],"of":[4,7,16,77,122],"digital":[5],"images":[6],"high-noise":[9],"environment,":[10],"the":[11,14,48,86,107,114,119],"authors":[12],"address":[13],"problem":[15],"detecting":[17],"pixel-sized,":[18],"barely":[19],"discernible":[20],"moving":[21],"objects":[22],"whose":[23],"position":[24],"and":[25,35,51,66,83,117],"trajectories":[26,80],"are":[27,70,81],"unknown.":[28],"The":[29,89],"sequences":[30],"may":[31],"be":[32],"temporally":[33],"sparse":[34],"contain":[36],"significant":[37],"frame-to-frame":[38],"drifting":[39],"background":[40,68],"clutter":[41],"as":[42],"caused":[43],"by":[44],"relative":[45],"motion":[46],"between":[47],"sensor":[49],"array":[50],"natural":[52],"terrain,":[53],"ocean,":[54],"or":[55],"clouds.":[56],"A":[57,98],"general,":[58],"two-step":[59],"approach":[60],"is":[61,92,110],"presented.":[62],"First,":[63],"correlation":[65],"space-varying":[67],"structure":[69],"removed.":[71],"Second,":[72],"large,":[74],"dense":[75],"set":[76],"pixel-sized":[78],"space-time":[79],"hypothesized":[82],"tested":[84],"in":[85],"innovations":[87,108],"sequence.":[88],"search":[90],"space":[91],"organized":[93],"into":[94],"tree":[96],"structure.":[97],"sequential":[99],"statistical":[100],"technique,":[101],"multistage":[102],"hypothesis":[103],"testing,":[104],"optimized":[105],"for":[106],"model,":[109],"used":[111],"to":[112],"test":[113],"multiple":[115],"hypotheses":[116],"prune":[118],"tree-structured":[120],"list":[121],"candidate":[123],"trajectories.<":[124],"<ETX":[125],"xmlns:mml=\"http://www.w3.org/1998/Math/MathML\"":[126],"xmlns:xlink=\"http://www.w3.org/1999/xlink\">&gt;</ETX>":[127]},"counts_by_year":[{"year":2022,"cited_by_count":1}],"updated_date":"2025-11-06T03:46:38.306776","created_date":"2025-10-10T00:00:00"}
