1 research outputs found
Moving object detection and tracking in wavelet compressed video
Cataloged from PDF version of article.In many surveillance systems the video is stored in wavelet compressed form.
An algorithm for moving object and region detection in video that is
compressed using a wavelet transform (WT) is developed. The algorithm
estimates the WT of the background scene from the WTs of the past image
frames of the video. The WT of the current image is compared with the WT of
the background and the moving objects are determined from the difference.
The algorithm does not perform inverse WT to obtain the actual pixels of the
current image nor the estimated background. This leads to a computationally
efficient method and a system compared to the existing motion estimation
methods. In a second aspect, size and locations of moving objects and regions
in video is estimated from the wavelet coefficients of the current image, which
differ from the estimated background wavelet coefficients. This is possible
because wavelet coefficients of an image carry both frequency and space
information. In this way, we are able to track the detected objects in video.
Another feature of the algorithm is that it can determine slowing objects in
video. This is important in many practical applications including highway
monitoring, queue control, etc.Töreyin, Behçet UğurM.S