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Study of image motion compensation in photoelectric search with the system

Author: ZhouXia
Tutor: ChenQian
School: Nanjing University of Technology and Engineering
Course: Optical Engineering
Keywords: Motion compensation filtering corner detection search track
CLC: TP391.41
Type: Master's thesis
Year: 2014
Downloads: 26
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Abstract


Image stabilization technology is widely used in mobile robotics,military reconnaissance, security and surveillance, precision-guided weapons field, intelligent vehicles and other field. Image stabilization technology have developed from mechanical image stabilization technology, optical image stabilization technology, the electrical and mechanical image stabilization technology, to the electronic image stabilization technology, which is rapidly developed in recent years. With the development of computer technology and large-scale integrated circuits, electronic image stabilization technology has become the inevitable trend.In the image motion compensation algorithms, the block matching method is the most used method. However, the block matching method has the block effect. This task research on the motion detection and tracking of targets in the aerial video, which focuses on the CCHKLT algorithm. In the CCHKLT algorithm, the corner detection is used in the image to get the corner sets in the image. Using this corner sets and the KLT optical flow tracking algorithm in next images, and get the corresponding corner sets. Match the two image sets of the before and after frames, and then calculated homography relation between two frames. Finally, this method derives to the transform relationship between the initial reference frame and the current frame. In this method,correcting the transformation matrix properly is a must. When the rotation angle corresponding to the transition matrix reaches a certain threshold, we will correct the transition matrix of the images. Then use this image as the reference frame, continue to repeat the above algorithm, until the end of the video image. After CCHKLT algorithm, the difference between the reference image and the motion-compensated inter-frame image is reduced. And then use this algorithm in the moving targets detection and tracking. In practice, we found that CCHKLT algorithm is more precise and faster than phase method and method handled directly, and suitable for the use in translation, rotation and scaling conditions.

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CLC: > Industrial Technology > Automation technology,computer technology > Computing technology,computer technology > Computer applications > Information processing (information processing) > Pattern Recognition and devices > Image recognition device
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