High efficient moving object extraction and classification in traffic video surveillance

Journal of Systems Engineering and Electronics

Volumn 20, Issue 4, 2009, Pages 858-868

  Li, Zhihua ^a   Zhou, Fan ^a   Tian, Xiang ^a   Chen, Yaowu ^a  

^a ZHEJIANG UNIVERSITY   (China)

Author keywords

Adaptive single Gaussian model; Background model; Nonparametric model; Object classification

Indexed keywords

ADABOOST; AUTOMATED VIDEO SURVEILLANCE; BACKGROUND MODEL; COMPUTATION SPEED; DISCRIMINABILITY; EXISTING METHOD; FEATURE-BASED; GAUSSIAN BACKGROUND; GENERALIZED AGGLOMERATIVE SCHEME; GRADUAL CHANGES; KERNEL DENSITY; MOVING OBJECT EXTRACTION; NON-PARAMETRIC MODEL; OBJECT CLASSIFICATION; REGION SEGMENTATION; RELATIVE IMPORTANCE; SINGLE GAUSSIAN MODEL; STABLE REGION; TRAFFIC DIRECTIONS; TRAFFIC VIDEOS; TWO-THRESHOLD SEQUENTIAL ALGORITHMIC SCHEME;

ADAPTIVE BOOSTING; GAUSSIAN DISTRIBUTION; IMAGE SEGMENTATION; MONITORING; SECURITY SYSTEMS;

MODELS;

EID: 77956286598     PISSN: 10044132     EISSN: None     Source Type: Journal    
DOI: None     Document Type: Article

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