Tracking of Moving Objects by Using a Low Resolution Image

Automatic detection and tracking of moving object is very important task for security system, monitoring activity and surveillance application. It is, however, still under the developmental stage and needs to be robust performance when applied in an unconstrained environment. Many approaches have be...

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Bibliographic Details
Published inSecond International Conference on Innovative Computing, Informatio and Control (ICICIC 2007) p. 408
Main Authors Sugandi, B., Hyoungseop Kim, Joo Kooi Tan, Ishikawa, S.
Format Conference Proceeding
LanguageEnglish
Published IEEE 01.09.2007
Subjects
Computerized monitoring
Image resolution
Motion detection
Noise reduction
Object detection
Optical detectors
Optical noise
Robustness
Security
Surveillance
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Summary:Automatic detection and tracking of moving object is very important task for security system, monitoring activity and surveillance application. It is, however, still under the developmental stage and needs to be robust performance when applied in an unconstrained environment. Many approaches have been developed to detect motion, namely, optical flow, frame difference, background subtraction and skin color extraction. These methods are sensitive to illumination changes and small movement in the background such as moving leaves of trees that will cause inaccurate detection. Some techniques have been applied to reduce this kind of noise. In this paper we propose a new method by using a low resolution image to reduce that kind of noise so we can get an accurate tracking object.
ISBN:0769528821
9780769528823
DOI:10.1109/ICICIC.2007.600