{"id":"https://openalex.org/W2931919710","doi":"https://doi.org/10.1109/conielecomp.2019.8673174","title":"Tracking object using a TOF camera using the intensity and depth chanel","display_name":"Tracking object using a TOF camera using the intensity and depth chanel","publication_year":2019,"publication_date":"2019-02-01","ids":{"openalex":"https://openalex.org/W2931919710","doi":"https://doi.org/10.1109/conielecomp.2019.8673174","mag":"2931919710"},"language":"en","primary_location":{"id":"doi:10.1109/conielecomp.2019.8673174","is_oa":false,"landing_page_url":"https://doi.org/10.1109/conielecomp.2019.8673174","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2019 International Conference on Electronics, Communications and Computers (CONIELECOMP)","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/A5035448491","display_name":"Luis Kayrumet Perez Buigas","orcid":null},"institutions":[{"id":"https://openalex.org/I157492648","display_name":"Autonomous University of Queretaro","ror":"https://ror.org/00v8fdc16","country_code":"MX","type":"education","lineage":["https://openalex.org/I157492648"]}],"countries":["MX"],"is_corresponding":false,"raw_author_name":"Luis Kayrumet Perez Buigas","raw_affiliation_strings":["Facultad de Inform\u00e1tica, Universidad Aut\u00f3noma de Quer\u00e9taro, Quer\u00e9taro, Mexico"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Facultad de Inform\u00e1tica, Universidad Aut\u00f3noma de Quer\u00e9taro, Quer\u00e9taro, Mexico","institution_ids":["https://openalex.org/I157492648"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5083401390","display_name":"Hugo Jim\u00e9nez\u2010Hern\u00e1ndez","orcid":"https://orcid.org/0000-0003-0827-6645"},"institutions":[{"id":"https://openalex.org/I4210117848","display_name":"Center for Engineering and Industrial Development","ror":"https://ror.org/03cf87p34","country_code":"MX","type":"facility","lineage":["https://openalex.org/I4210117848","https://openalex.org/I4210163111"]}],"countries":["MX"],"is_corresponding":false,"raw_author_name":"H. Jimenez","raw_affiliation_strings":["Direcci\u00f3n de Energ\u00edas, Centro de Ingenier\u00eda y Desarrollo Industrial, Quer\u00e9taro, Mexico"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Direcci\u00f3n de Energ\u00edas, Centro de Ingenier\u00eda y Desarrollo Industrial, Quer\u00e9taro, Mexico","institution_ids":["https://openalex.org/I4210117848"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":2,"corresponding_author_ids":[],"corresponding_institution_ids":[],"apc_list":null,"apc_paid":null,"fwci":null,"has_fulltext":false,"cited_by_count":1,"citation_normalized_percentile":null,"cited_by_percentile_year":null,"biblio":{"volume":"76","issue":null,"first_page":"129","last_page":"133"},"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":0.996999979019165,"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"}},{"id":"https://openalex.org/T11019","display_name":"Image Enhancement Techniques","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/camouflage","display_name":"Camouflage","score":0.9072972536087036},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.8390630483627319},{"id":"https://openalex.org/keywords/computer-vision","display_name":"Computer vision","score":0.7807815074920654},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.7036011815071106},{"id":"https://openalex.org/keywords/background-subtraction","display_name":"Background subtraction","score":0.6688390970230103},{"id":"https://openalex.org/keywords/histogram","display_name":"Histogram","score":0.5342919230461121},{"id":"https://openalex.org/keywords/segmentation","display_name":"Segmentation","score":0.47694626450538635},{"id":"https://openalex.org/keywords/ground-truth","display_name":"Ground truth","score":0.4608584940433502},{"id":"https://openalex.org/keywords/histogram-equalization","display_name":"Histogram equalization","score":0.4564743638038635},{"id":"https://openalex.org/keywords/color-histogram","display_name":"Color histogram","score":0.4194898009300232},{"id":"https://openalex.org/keywords/pattern-recognition","display_name":"Pattern recognition (psychology)","score":0.3360539674758911},{"id":"https://openalex.org/keywords/image-processing","display_name":"Image processing","score":0.3143201470375061},{"id":"https://openalex.org/keywords/color-image","display_name":"Color image","score":0.3037372827529907},{"id":"https://openalex.org/keywords/pixel","display_name":"Pixel","score":0.2584661841392517},{"id":"https://openalex.org/keywords/image","display_name":"Image (mathematics)","score":0.2499217689037323}],"concepts":[{"id":"https://openalex.org/C2776196576","wikidata":"https://www.wikidata.org/wiki/Q196113","display_name":"Camouflage","level":2,"score":0.9072972536087036},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.8390630483627319},{"id":"https://openalex.org/C31972630","wikidata":"https://www.wikidata.org/wiki/Q844240","display_name":"Computer vision","level":1,"score":0.7807815074920654},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.7036011815071106},{"id":"https://openalex.org/C32653426","wikidata":"https://www.wikidata.org/wiki/Q3813641","display_name":"Background subtraction","level":3,"score":0.6688390970230103},{"id":"https://openalex.org/C53533937","wikidata":"https://www.wikidata.org/wiki/Q185020","display_name":"Histogram","level":3,"score":0.5342919230461121},{"id":"https://openalex.org/C89600930","wikidata":"https://www.wikidata.org/wiki/Q1423946","display_name":"Segmentation","level":2,"score":0.47694626450538635},{"id":"https://openalex.org/C146849305","wikidata":"https://www.wikidata.org/wiki/Q370766","display_name":"Ground truth","level":2,"score":0.4608584940433502},{"id":"https://openalex.org/C136943445","wikidata":"https://www.wikidata.org/wiki/Q1970240","display_name":"Histogram equalization","level":4,"score":0.4564743638038635},{"id":"https://openalex.org/C12043971","wikidata":"https://www.wikidata.org/wiki/Q2636542","display_name":"Color histogram","level":5,"score":0.4194898009300232},{"id":"https://openalex.org/C153180895","wikidata":"https://www.wikidata.org/wiki/Q7148389","display_name":"Pattern recognition (psychology)","level":2,"score":0.3360539674758911},{"id":"https://openalex.org/C9417928","wikidata":"https://www.wikidata.org/wiki/Q1070689","display_name":"Image processing","level":3,"score":0.3143201470375061},{"id":"https://openalex.org/C142616399","wikidata":"https://www.wikidata.org/wiki/Q5148604","display_name":"Color image","level":4,"score":0.3037372827529907},{"id":"https://openalex.org/C160633673","wikidata":"https://www.wikidata.org/wiki/Q355198","display_name":"Pixel","level":2,"score":0.2584661841392517},{"id":"https://openalex.org/C115961682","wikidata":"https://www.wikidata.org/wiki/Q860623","display_name":"Image (mathematics)","level":2,"score":0.2499217689037323}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/conielecomp.2019.8673174","is_oa":false,"landing_page_url":"https://doi.org/10.1109/conielecomp.2019.8673174","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2019 International Conference on Electronics, Communications and Computers (CONIELECOMP)","raw_type":"proceedings-article"}],"best_oa_location":null,"sustainable_development_goals":[{"display_name":"Sustainable cities and communities","id":"https://metadata.un.org/sdg/11","score":0.6000000238418579}],"awards":[],"funders":[],"has_content":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":19,"referenced_works":["https://openalex.org/W46659105","https://openalex.org/W1481797078","https://openalex.org/W1977196913","https://openalex.org/W1982853888","https://openalex.org/W2028282671","https://openalex.org/W2035866593","https://openalex.org/W2084592708","https://openalex.org/W2098586652","https://openalex.org/W2102625004","https://openalex.org/W2141572457","https://openalex.org/W2143373691","https://openalex.org/W2151928481","https://openalex.org/W2297504648","https://openalex.org/W2413954201","https://openalex.org/W2429109214","https://openalex.org/W2760782098","https://openalex.org/W4253182958","https://openalex.org/W6628749493","https://openalex.org/W6644632420"],"related_works":["https://openalex.org/W1597132678","https://openalex.org/W2129615465","https://openalex.org/W2354812287","https://openalex.org/W2170563037","https://openalex.org/W4231893945","https://openalex.org/W1489638825","https://openalex.org/W2382814550","https://openalex.org/W636454147","https://openalex.org/W97275405","https://openalex.org/W2047344228"],"abstract_inverted_index":{"Background":[0],"subtraction":[1,23],"and":[2,13,33,39,67,83,94,111],"movement":[3,55],"segmentation":[4],"algorithms":[5],"can":[6],"be":[7],"improved":[8],"by":[9],"merging":[10],"the":[11,27,49,52],"depth":[12,34,68,84,93],"color":[14,32,38,64,81],"entries.":[15],"In":[16,58],"this":[17,114],"paper,":[18],"we":[19,42,60,74],"propose":[20],"a":[21,44,76],"background":[22],"method":[24,101],"based":[25,47],"on":[26,48,62],"Gaussian":[28],"mixture":[29],"models":[30],"using":[31],"information.":[35],"To":[36],"combine":[37],"distance":[40],"information,":[41],"used":[43],"probabilistic":[45],"model":[46],"histogram":[50],"of":[51,91,122],"area":[53],"where":[54],"was":[56],"detected.":[57],"particular,":[59],"focused":[61],"solving":[63],"camouflage":[65,82,85],"problem":[66],"denoising.":[69],"For":[70],"evaluating":[71],"our":[72],"method,":[73],"built":[75],"new":[77],"dataset":[78,88],"containing":[79],"normal,":[80],"situations.":[86],"The":[87,99],"files":[89],"consist":[90],"color,":[92],"ground":[95],"truth":[96],"image":[97,128],"sequences.":[98],"proposed":[100],"shows":[102],"greater":[103],"resistance":[104],"to":[105,118],"changes":[106],"in":[107,126],"lighting,":[108],"shadows,":[109],"reflections":[110],"camouflage.":[112],"Thus,":[113],"technique":[115],"will":[116],"help":[117],"robustly":[119],"detect":[120],"regions":[121],"interest":[123],"as":[124],"pre-processing":[125],"high-level":[127],"processing":[129],"stages.":[130]},"counts_by_year":[{"year":2020,"cited_by_count":1}],"updated_date":"2026-07-14T23:27:15.235271","created_date":"2025-10-10T00:00:00"}
