Moving object detection based on an improved Gaussian mixture background model

2009 Second ISECS International Colloquium on Computing, Communication, Control, and Management, CCCM 2009

Volumn 1, Issue , 2009, Pages 12-15

  Rui, Yan ^a   Xuehua, Song ^a   Shu, Yan ^a  

^a JIANGSU UNIVERSITY   (China)

Author keywords

Background reconstruction; Background updating; Component; Gaussian mixture model; Moving object detection

Indexed keywords

BACKGROUND MODEL; BACKGROUND RECONSTRUCTION; BACKGROUND SUBTRACTION; BACKGROUND SUBTRACTION METHOD; COMPLEX CONDITION; DYNAMIC LEARNING; FRAME DIFFERENCES; GAUSSIAN MIXTURE MODEL; GAUSSIAN MIXTURES; ILLUMINATION CHANGES; INTELLIGENT VIDEO; MOVING OBJECTS; MOVING-OBJECT DETECTION; NOVEL ALGORITHM; STATIC CAMERAS;

BLIND SOURCE SEPARATION; COMMUNICATION CHANNELS (INFORMATION THEORY); COMPUTER SCIENCE; DETECTOR CIRCUITS; IMAGE SEGMENTATION; MIXTURES; MODELS; REPAIR; TRACKING (POSITION);

OBJECT RECOGNITION;

EID: 70449720837     PISSN: None     EISSN: None     Source Type: Conference Proceeding    
DOI: 10.1109/CCCM.2009.5268164     Document Type: Conference Paper

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