An adaptive neural-fuzzy approach for object detection in dynamic backgrounds for surveillance systems

IEEE Transactions on Industrial Electronics

Volumn 59, Issue 8, 2012, Pages 3286-3298

  Chacon Murguia, Mario I ^a   Gonzalez Duarte, Sergio ^a  

^a Chihuahua Institute of Technology   (Mexico)

Author keywords

Neural fuzzy segmentation; surveillance systems; video analysis; video segmentation

Indexed keywords

COMPLEX COMPUTATION; DETECTING OBJECTS; DETECTION MODELS; DYNAMIC BACKGROUND; HUMAN BEHAVIORS; HUMAN INTERVENTION; MAIN PARAMETERS; NEURAL-FUZZY MODEL; OBJECT DETECTION; OBJECT DETECTION METHOD; PARAMETER ADJUSTMENTS; QUANTITATIVE COMPARISON; SHADOW ELIMINATION; SURVEILLANCE SYSTEMS; VIDEO ANALYSIS; VIDEO SCENE; VIDEO SEGMENTATION; VIDEO SEQUENCES;

CONFORMAL MAPPING; OBJECT RECOGNITION;

SECURITY SYSTEMS;

EID: 84859704771     PISSN: 02780046     EISSN: None     Source Type: Journal    
DOI: 10.1109/TIE.2011.2106093     Document Type: Article

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