{"id":"https://openalex.org/W2048491890","doi":"https://doi.org/10.1109/i2mtc.2013.6555645","title":"Design flow for complex scene visual object tracking and avoidance system","display_name":"Design flow for complex scene visual object tracking and avoidance system","publication_year":2013,"publication_date":"2013-05-01","ids":{"openalex":"https://openalex.org/W2048491890","doi":"https://doi.org/10.1109/i2mtc.2013.6555645","mag":"2048491890"},"language":"en","primary_location":{"id":"doi:10.1109/i2mtc.2013.6555645","is_oa":false,"landing_page_url":"https://doi.org/10.1109/i2mtc.2013.6555645","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2013 IEEE International Instrumentation and Measurement Technology Conference (I2MTC)","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/A5042522238","display_name":"Thomas Gonnot","orcid":null},"institutions":[{"id":"https://openalex.org/I180949307","display_name":"Illinois Institute of Technology","ror":"https://ror.org/037t3ry66","country_code":"US","type":"education","lineage":["https://openalex.org/I180949307"]}],"countries":["US"],"is_corresponding":true,"raw_author_name":"Thomas Gonnot","raw_affiliation_strings":["Department of Electrical and Computer Engineering, Illinois Institute of Technology, Chicago, IL, USA","Dept of Electr. & Comput. Eng., Illinois Inst. of Technol., Chicago, IL, USA"],"affiliations":[{"raw_affiliation_string":"Department of Electrical and Computer Engineering, Illinois Institute of Technology, Chicago, IL, USA","institution_ids":["https://openalex.org/I180949307"]},{"raw_affiliation_string":"Dept of Electr. & Comput. Eng., Illinois Inst. of Technol., Chicago, IL, USA","institution_ids":["https://openalex.org/I180949307"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5018536803","display_name":"Jafar Saniie","orcid":"https://orcid.org/0000-0002-2655-6950"},"institutions":[{"id":"https://openalex.org/I180949307","display_name":"Illinois Institute of Technology","ror":"https://ror.org/037t3ry66","country_code":"US","type":"education","lineage":["https://openalex.org/I180949307"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Jafar Saniie","raw_affiliation_strings":["Department of Electrical and Computer Engineering, Illinois Institute of Technology, Chicago, IL, USA","Dept of Electr. & Comput. Eng., Illinois Inst. of Technol., Chicago, IL, USA"],"affiliations":[{"raw_affiliation_string":"Department of Electrical and Computer Engineering, Illinois Institute of Technology, Chicago, IL, USA","institution_ids":["https://openalex.org/I180949307"]},{"raw_affiliation_string":"Dept of Electr. & Comput. Eng., Illinois Inst. of Technol., Chicago, IL, USA","institution_ids":["https://openalex.org/I180949307"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":2,"corresponding_author_ids":["https://openalex.org/A5042522238"],"corresponding_institution_ids":["https://openalex.org/I180949307"],"apc_list":null,"apc_paid":null,"fwci":0.2722,"has_fulltext":false,"cited_by_count":1,"citation_normalized_percentile":{"value":0.60080354,"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":"1408","last_page":"1411"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10331","display_name":"Video Surveillance and Tracking Methods","score":0.9991000294685364,"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":0.9991000294685364,"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/T12389","display_name":"Infrared Target Detection Methodologies","score":0.9951000213623047,"subfield":{"id":"https://openalex.org/subfields/2202","display_name":"Aerospace 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/T10627","display_name":"Advanced Image and Video Retrieval Techniques","score":0.987500011920929,"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":0.7878430485725403},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.7722706198692322},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.7680694460868835},{"id":"https://openalex.org/keywords/object-detection","display_name":"Object detection","score":0.6773366928100586},{"id":"https://openalex.org/keywords/video-tracking","display_name":"Video tracking","score":0.6242281794548035},{"id":"https://openalex.org/keywords/feature-extraction","display_name":"Feature extraction","score":0.6131241321563721},{"id":"https://openalex.org/keywords/optical-flow","display_name":"Optical flow","score":0.5981650352478027},{"id":"https://openalex.org/keywords/tracking","display_name":"Tracking (education)","score":0.5610809326171875},{"id":"https://openalex.org/keywords/frame","display_name":"Frame (networking)","score":0.5514583587646484},{"id":"https://openalex.org/keywords/tracking-system","display_name":"Tracking system","score":0.5216501355171204},{"id":"https://openalex.org/keywords/object","display_name":"Object (grammar)","score":0.5004067420959473},{"id":"https://openalex.org/keywords/cognitive-neuroscience-of-visual-object-recognition","display_name":"Cognitive neuroscience of visual object recognition","score":0.485782653093338},{"id":"https://openalex.org/keywords/feature","display_name":"Feature (linguistics)","score":0.42108798027038574},{"id":"https://openalex.org/keywords/frame-rate","display_name":"Frame rate","score":0.4115745723247528},{"id":"https://openalex.org/keywords/pattern-recognition","display_name":"Pattern recognition (psychology)","score":0.2573312520980835},{"id":"https://openalex.org/keywords/image","display_name":"Image (mathematics)","score":0.17251041531562805},{"id":"https://openalex.org/keywords/kalman-filter","display_name":"Kalman filter","score":0.12901374697685242}],"concepts":[{"id":"https://openalex.org/C31972630","wikidata":"https://www.wikidata.org/wiki/Q844240","display_name":"Computer vision","level":1,"score":0.7878430485725403},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.7722706198692322},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.7680694460868835},{"id":"https://openalex.org/C2776151529","wikidata":"https://www.wikidata.org/wiki/Q3045304","display_name":"Object detection","level":3,"score":0.6773366928100586},{"id":"https://openalex.org/C202474056","wikidata":"https://www.wikidata.org/wiki/Q1931635","display_name":"Video tracking","level":3,"score":0.6242281794548035},{"id":"https://openalex.org/C52622490","wikidata":"https://www.wikidata.org/wiki/Q1026626","display_name":"Feature extraction","level":2,"score":0.6131241321563721},{"id":"https://openalex.org/C155542232","wikidata":"https://www.wikidata.org/wiki/Q736111","display_name":"Optical flow","level":3,"score":0.5981650352478027},{"id":"https://openalex.org/C2775936607","wikidata":"https://www.wikidata.org/wiki/Q466845","display_name":"Tracking (education)","level":2,"score":0.5610809326171875},{"id":"https://openalex.org/C126042441","wikidata":"https://www.wikidata.org/wiki/Q1324888","display_name":"Frame (networking)","level":2,"score":0.5514583587646484},{"id":"https://openalex.org/C154586513","wikidata":"https://www.wikidata.org/wiki/Q4420972","display_name":"Tracking system","level":3,"score":0.5216501355171204},{"id":"https://openalex.org/C2781238097","wikidata":"https://www.wikidata.org/wiki/Q175026","display_name":"Object (grammar)","level":2,"score":0.5004067420959473},{"id":"https://openalex.org/C64876066","wikidata":"https://www.wikidata.org/wiki/Q5141226","display_name":"Cognitive neuroscience of visual object recognition","level":3,"score":0.485782653093338},{"id":"https://openalex.org/C2776401178","wikidata":"https://www.wikidata.org/wiki/Q12050496","display_name":"Feature (linguistics)","level":2,"score":0.42108798027038574},{"id":"https://openalex.org/C3261483","wikidata":"https://www.wikidata.org/wiki/Q119565","display_name":"Frame rate","level":2,"score":0.4115745723247528},{"id":"https://openalex.org/C153180895","wikidata":"https://www.wikidata.org/wiki/Q7148389","display_name":"Pattern recognition (psychology)","level":2,"score":0.2573312520980835},{"id":"https://openalex.org/C115961682","wikidata":"https://www.wikidata.org/wiki/Q860623","display_name":"Image (mathematics)","level":2,"score":0.17251041531562805},{"id":"https://openalex.org/C157286648","wikidata":"https://www.wikidata.org/wiki/Q846780","display_name":"Kalman filter","level":2,"score":0.12901374697685242},{"id":"https://openalex.org/C138885662","wikidata":"https://www.wikidata.org/wiki/Q5891","display_name":"Philosophy","level":0,"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/C15744967","wikidata":"https://www.wikidata.org/wiki/Q9418","display_name":"Psychology","level":0,"score":0.0},{"id":"https://openalex.org/C19417346","wikidata":"https://www.wikidata.org/wiki/Q7922","display_name":"Pedagogy","level":1,"score":0.0},{"id":"https://openalex.org/C41895202","wikidata":"https://www.wikidata.org/wiki/Q8162","display_name":"Linguistics","level":1,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/i2mtc.2013.6555645","is_oa":false,"landing_page_url":"https://doi.org/10.1109/i2mtc.2013.6555645","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2013 IEEE International Instrumentation and Measurement Technology Conference (I2MTC)","raw_type":"proceedings-article"}],"best_oa_location":null,"sustainable_development_goals":[{"id":"https://metadata.un.org/sdg/11","score":0.6000000238418579,"display_name":"Sustainable cities and communities"}],"awards":[],"funders":[],"has_content":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":12,"referenced_works":["https://openalex.org/W2005750530","https://openalex.org/W2101359585","https://openalex.org/W2104271094","https://openalex.org/W2104955141","https://openalex.org/W2105713733","https://openalex.org/W2125147215","https://openalex.org/W2138720424","https://openalex.org/W2151103935","https://openalex.org/W4285719527","https://openalex.org/W6675785006","https://openalex.org/W6678353198","https://openalex.org/W6680752471"],"related_works":["https://openalex.org/W1975907365","https://openalex.org/W2971088694","https://openalex.org/W2318603563","https://openalex.org/W2204864382","https://openalex.org/W1909182616","https://openalex.org/W1875422203","https://openalex.org/W887692824","https://openalex.org/W2354419434","https://openalex.org/W2021121433","https://openalex.org/W4285271403"],"abstract_inverted_index":{"This":[0],"paper":[1],"presents":[2],"the":[3,34,53,72,79,90,94,97,110],"design":[4,20],"flow":[5],"of":[6,57,81,89,96,101,112],"efficient":[7],"and":[8,12,30,42,55,85],"real-time":[9],"object":[10],"detection":[11,54,84,95],"tracking":[13,56],"system":[14,35,67,92],"in":[15,78,99],"a":[16,65,102],"complex":[17],"environment.":[18],"The":[19],"relies":[21],"on":[22,109],"color":[23],"extraction,":[24],"target":[25],"recognition":[26],"using":[27,106],"neural":[28],"networks":[29],"feature":[31],"extraction.":[32],"Furthermore,":[33],"is":[36,64,74,93],"designed":[37],"to":[38,44],"identify":[39],"different":[40],"objects":[41,58],"also":[43],"predict":[45],"their":[46,113],"movements.":[47],"There":[48],"are":[49],"many":[50],"domains":[51],"where":[52,71],"can":[59],"be":[60],"required.":[61],"An":[62],"example":[63],"defense":[66],"for":[68],"perimeter":[69],"protection":[70],"camera":[73],"more":[75],"cost":[76],"effective":[77],"case":[80],"short":[82],"range":[83],"recognition.":[86],"Another":[87],"application":[88],"proposed":[91],"obstacles":[98],"front":[100],"visually":[103],"impaired":[104],"person":[105],"cameras":[107],"mounted":[108],"frame":[111],"eyeglasses.":[114]},"counts_by_year":[{"year":2016,"cited_by_count":1}],"updated_date":"2025-11-06T03:46:38.306776","created_date":"2025-10-10T00:00:00"}