Object Extraction from Zooming Sequence

• Main Authors: Zhi-Gang Li, 李致綱
• Other Authors: John Y. Chiang
• Format: Others
• Language: zh-TW
• Published: 2003
• Online Access: http://ndltd.ncl.edu.tw/handle/98207911746825239899

碩士 === 國立中山大學 === 資訊工程學系研究所 === 91 === With the development of the MPEG4, the concept of video object plane (VOP) is more and more important. Before the MPEG4 video coding, it requires a prior process to decompose the video sequences into several video segmented object planes. As moving objects cause local intensities changes, these changes provide the most important information of the segmentation. Whereas the camera motion also changes intensities, we have to remove the changes caused by camera moving. The experimentation is using a fixed and single global lens CCD to detect the objects which are not belong to the environment. When global lens CCD finds the objects, the system will pass the objects information to PTZ lens CCD, which is able to capture the better image of the objects. When PTZ lens CCD is tracing objects, CCD`s moving causes global motion between frames. As extracting the objects in these frames, we use an efficient affine model to remove the image intensities changes caused by PTZ lens camera moving. After motion compensation, find the changes due to moving objects, and select the region of the objects. On purpose to find the precise contours of the objects, we use SRG algorithm to erode the background inside the objects region, and finally extract the objects. In the last step, we return back the image of the PTZ lens CCD with global lens CCD`s background and the extracted objects. By this method, we are able to reduce the redundancy and lower the data translation bit rate.