{"id":"https://openalex.org/W2749598450","doi":"https://doi.org/10.1109/aipr.2016.8010575","title":"Computationally efficient scene categorization in complex dynamic environments","display_name":"Computationally efficient scene categorization in complex dynamic environments","publication_year":2016,"publication_date":"2016-10-01","ids":{"openalex":"https://openalex.org/W2749598450","doi":"https://doi.org/10.1109/aipr.2016.8010575","mag":"2749598450"},"language":"en","primary_location":{"id":"doi:10.1109/aipr.2016.8010575","is_oa":false,"landing_page_url":"https://doi.org/10.1109/aipr.2016.8010575","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2016 IEEE Applied Imagery Pattern Recognition Workshop (AIPR)","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/A5006694017","display_name":"Allison Mathis","orcid":null},"institutions":[{"id":"https://openalex.org/I166416128","display_name":"DEVCOM Army Research Laboratory","ror":"https://ror.org/011hc8f90","country_code":"US","type":"government","lineage":["https://openalex.org/I1304082316","https://openalex.org/I1330347796","https://openalex.org/I166416128","https://openalex.org/I2802705668","https://openalex.org/I4210154437"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Allison Mathis","raw_affiliation_strings":["Army Research Laboratory Adelphi, Maryland, United States of America"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Army Research Laboratory Adelphi, Maryland, United States of America","institution_ids":["https://openalex.org/I166416128"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5079627017","display_name":"Daniel Donavanik","orcid":null},"institutions":[{"id":"https://openalex.org/I166416128","display_name":"DEVCOM Army Research Laboratory","ror":"https://ror.org/011hc8f90","country_code":"US","type":"government","lineage":["https://openalex.org/I1304082316","https://openalex.org/I1330347796","https://openalex.org/I166416128","https://openalex.org/I2802705668","https://openalex.org/I4210154437"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Daniel Donavanik","raw_affiliation_strings":["Army Research Laboratory Adelphi, Maryland, United States of America"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Army Research Laboratory Adelphi, Maryland, United States of America","institution_ids":["https://openalex.org/I166416128"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5112601078","display_name":"William D. Nothwang","orcid":null},"institutions":[{"id":"https://openalex.org/I166416128","display_name":"DEVCOM Army Research Laboratory","ror":"https://ror.org/011hc8f90","country_code":"US","type":"government","lineage":["https://openalex.org/I1304082316","https://openalex.org/I1330347796","https://openalex.org/I166416128","https://openalex.org/I2802705668","https://openalex.org/I4210154437"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"William Nothwang","raw_affiliation_strings":["Army Research Laboratory Adelphi, Maryland, United States of America"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Army Research Laboratory Adelphi, Maryland, United States of America","institution_ids":["https://openalex.org/I166416128"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":1,"corresponding_author_ids":[],"corresponding_institution_ids":["https://openalex.org/I166416128"],"apc_list":null,"apc_paid":null,"fwci":0.0,"has_fulltext":false,"cited_by_count":0,"citation_normalized_percentile":{"value":0.25443678,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":null,"biblio":{"volume":null,"issue":null,"first_page":"1","last_page":"6"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T11512","display_name":"Anomaly Detection Techniques and Applications","score":0.9991999864578247,"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"}},"topics":[{"id":"https://openalex.org/T11512","display_name":"Anomaly Detection Techniques and Applications","score":0.9991999864578247,"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"}},{"id":"https://openalex.org/T10331","display_name":"Video Surveillance and Tracking Methods","score":0.9966999888420105,"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":0.9937999844551086,"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":0.8137078285217285},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.6715170741081238},{"id":"https://openalex.org/keywords/odometry","display_name":"Odometry","score":0.6408599615097046},{"id":"https://openalex.org/keywords/categorization","display_name":"Categorization","score":0.6202458739280701},{"id":"https://openalex.org/keywords/a-priori-and-a-posteriori","display_name":"A priori and a posteriori","score":0.5922210216522217},{"id":"https://openalex.org/keywords/computer-vision","display_name":"Computer vision","score":0.5627362728118896},{"id":"https://openalex.org/keywords/mobile-robot","display_name":"Mobile robot","score":0.5033654570579529},{"id":"https://openalex.org/keywords/visual-odometry","display_name":"Visual odometry","score":0.49492067098617554},{"id":"https://openalex.org/keywords/classifier","display_name":"Classifier (UML)","score":0.48331403732299805},{"id":"https://openalex.org/keywords/observer","display_name":"Observer (physics)","score":0.44440582394599915},{"id":"https://openalex.org/keywords/ground-truth","display_name":"Ground truth","score":0.43023619055747986},{"id":"https://openalex.org/keywords/optical-flow","display_name":"Optical flow","score":0.4268726110458374},{"id":"https://openalex.org/keywords/field","display_name":"Field (mathematics)","score":0.41949769854545593},{"id":"https://openalex.org/keywords/machine-learning","display_name":"Machine learning","score":0.33692097663879395},{"id":"https://openalex.org/keywords/robot","display_name":"Robot","score":0.2361181378364563},{"id":"https://openalex.org/keywords/image","display_name":"Image (mathematics)","score":0.12933120131492615}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.8137078285217285},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.6715170741081238},{"id":"https://openalex.org/C49441653","wikidata":"https://www.wikidata.org/wiki/Q2014717","display_name":"Odometry","level":4,"score":0.6408599615097046},{"id":"https://openalex.org/C94124525","wikidata":"https://www.wikidata.org/wiki/Q912550","display_name":"Categorization","level":2,"score":0.6202458739280701},{"id":"https://openalex.org/C75553542","wikidata":"https://www.wikidata.org/wiki/Q178161","display_name":"A priori and a posteriori","level":2,"score":0.5922210216522217},{"id":"https://openalex.org/C31972630","wikidata":"https://www.wikidata.org/wiki/Q844240","display_name":"Computer vision","level":1,"score":0.5627362728118896},{"id":"https://openalex.org/C19966478","wikidata":"https://www.wikidata.org/wiki/Q4810574","display_name":"Mobile robot","level":3,"score":0.5033654570579529},{"id":"https://openalex.org/C5799516","wikidata":"https://www.wikidata.org/wiki/Q4110915","display_name":"Visual odometry","level":3,"score":0.49492067098617554},{"id":"https://openalex.org/C95623464","wikidata":"https://www.wikidata.org/wiki/Q1096149","display_name":"Classifier (UML)","level":2,"score":0.48331403732299805},{"id":"https://openalex.org/C2780704645","wikidata":"https://www.wikidata.org/wiki/Q9251458","display_name":"Observer (physics)","level":2,"score":0.44440582394599915},{"id":"https://openalex.org/C146849305","wikidata":"https://www.wikidata.org/wiki/Q370766","display_name":"Ground truth","level":2,"score":0.43023619055747986},{"id":"https://openalex.org/C155542232","wikidata":"https://www.wikidata.org/wiki/Q736111","display_name":"Optical flow","level":3,"score":0.4268726110458374},{"id":"https://openalex.org/C9652623","wikidata":"https://www.wikidata.org/wiki/Q190109","display_name":"Field (mathematics)","level":2,"score":0.41949769854545593},{"id":"https://openalex.org/C119857082","wikidata":"https://www.wikidata.org/wiki/Q2539","display_name":"Machine learning","level":1,"score":0.33692097663879395},{"id":"https://openalex.org/C90509273","wikidata":"https://www.wikidata.org/wiki/Q11012","display_name":"Robot","level":2,"score":0.2361181378364563},{"id":"https://openalex.org/C115961682","wikidata":"https://www.wikidata.org/wiki/Q860623","display_name":"Image (mathematics)","level":2,"score":0.12933120131492615},{"id":"https://openalex.org/C111472728","wikidata":"https://www.wikidata.org/wiki/Q9471","display_name":"Epistemology","level":1,"score":0.0},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"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/C138885662","wikidata":"https://www.wikidata.org/wiki/Q5891","display_name":"Philosophy","level":0,"score":0.0},{"id":"https://openalex.org/C202444582","wikidata":"https://www.wikidata.org/wiki/Q837863","display_name":"Pure mathematics","level":1,"score":0.0},{"id":"https://openalex.org/C62520636","wikidata":"https://www.wikidata.org/wiki/Q944","display_name":"Quantum mechanics","level":1,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/aipr.2016.8010575","is_oa":false,"landing_page_url":"https://doi.org/10.1109/aipr.2016.8010575","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2016 IEEE Applied Imagery Pattern Recognition Workshop (AIPR)","raw_type":"proceedings-article"}],"best_oa_location":null,"sustainable_development_goals":[{"display_name":"Sustainable cities and communities","score":0.550000011920929,"id":"https://metadata.un.org/sdg/11"}],"awards":[],"funders":[],"has_content":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":12,"referenced_works":["https://openalex.org/W1513100184","https://openalex.org/W1976144763","https://openalex.org/W2049750053","https://openalex.org/W2059302785","https://openalex.org/W2088543823","https://openalex.org/W2098984471","https://openalex.org/W2115579991","https://openalex.org/W2121927366","https://openalex.org/W2151290401","https://openalex.org/W2164489414","https://openalex.org/W2326050853","https://openalex.org/W6630726011"],"related_works":["https://openalex.org/W2979950214","https://openalex.org/W87609089","https://openalex.org/W3024737167","https://openalex.org/W2414561716","https://openalex.org/W3161199934","https://openalex.org/W2303855011","https://openalex.org/W2981103992","https://openalex.org/W2312326526","https://openalex.org/W3105866016","https://openalex.org/W4312703710"],"abstract_inverted_index":{"The":[0,111,155],"Army":[1],"operates":[2],"in":[3,23,35,185],"complex,":[4],"dynamic":[5,21,37,93,119],"environments,":[6],"without":[7,151],"a":[8,28,36,41,73,86,118,200],"priori":[9],"information,":[10],"at":[11],"operational-tempos.":[12],"Accurate":[13],"state":[14,183],"estimation":[15,184],"requires":[16],"an":[17,63,126],"understanding":[18,127],"of":[19,46,128,131,163,195,202],"the":[20,24,104,129,132,164,196],"elements":[22,162],"scene.":[25],"We":[26,191],"propose":[27],"computationally":[29,87],"efficient":[30,88],"method":[31],"for":[32,40,181],"object":[33],"classification":[34],"scene":[38],"suitable":[39],"mobile":[42,74,98],"platform.":[43,105],"Certain":[44],"phenomena":[45],"interest,":[47],"such":[48,82],"as":[49],"trees":[50],"waving":[51],"or":[52],"people":[53],"walking":[54],"produce":[55],"repeatable":[56],"and":[57,84,94,100,145,208],"recognizable":[58],"patterns":[59,69,83],"when":[60,115],"represented":[61],"by":[62,103,159],"optic":[64],"flow":[65,165],"vector":[66],"field.":[67],"These":[68],"are":[70,143,167],"invariant":[71],"to":[72,90,124,139,148,170],"observer's":[75],"viewpoint.":[76],"In":[77],"this":[78],"paper,":[79],"we":[80],"identify":[81],"demonstrate":[85],"framework":[89],"differentiate":[91],"between":[92],"static":[95],"background":[96],"elements,":[97],"agents":[99],"ego-motion":[101],"produced":[102],"This":[106],"provides":[107],"two":[108],"significant":[109],"benefits.":[110],"first":[112],"being":[113],"that":[114,158],"navigating":[116],"through":[117,199],"environment,":[120],"it":[121],"is":[122,157],"useful":[123],"have":[125],"nature":[130],"obstacles":[133],"encountered,":[134],"which":[135,141,146,161],"may":[136],"be":[137,149,174],"used":[138],"determine":[140],"disturbances":[142],"benign":[144],"ought":[147],"avoided,":[150],"requiring":[152],"burdensome":[153],"analysis.":[154],"second":[156],"identifying":[160],"field":[166],"not":[168],"due":[169],"egomotion,":[171],"they":[172],"can":[173],"removed":[175],"from":[176],"visual":[177],"odometry":[178],"calculations,":[179],"allowing":[180],"robust":[182],"highly":[186],"dynamic,":[187],"army":[188],"relevant":[189],"environments.":[190],"offer":[192],"experimental":[193],"validation":[194],"proposed":[197],"methodology":[198],"comparison":[201],"our":[203],"classifier":[204],"against":[205],"ground":[206],"truth":[207],"several":[209],"other":[210],"algorithms.":[211]},"counts_by_year":[],"updated_date":"2026-07-29T14:22:42.915294","created_date":"2025-10-10T00:00:00"}