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Moving Target Detection Research on Key Issues

Author: ShangJinXia
Tutor: ShangZhenHong
School: Kunming University of Science and Technology
Course: Computer Software and Theory
Keywords: Target Detection Tracking Shadow Removal
CLC: TP391.41
Type: Master's thesis
Year: 2010
Downloads: 87
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Abstract


Moving target detection and tracking is a smart video surveillance system core processing technology, is the key to intelligent monitoring systems. Papers on the dynamic scene moving target detection and tracking of key issues that exist in research, including moving target shadow removal, single camera moving target tracking and occlusion handling stability, non-overlapping multi-camera vision field goals associated matching. First, the shadow on the dynamic characteristics of the image sequence a large number of studies have been based on the attributes for the chroma, LBP remove the shadow texture deficiencies, filed in rgb color space, using the shadow color, the normalized luminance and partial pixel color changes and many other features combined mean Moving shadow removal algorithms. Secondly, the study stable tracking target, based on the RGB colors for the already associated with the matching feature to improve target tracking method to extract the target block UV normalized color histogram of the edge gradient eight-way constitute a tracking feature template matching basis. In single camera, the proposed use of target motion state Kalman filter template matching prediction and feature a combination of methods, in the case of unobstructed occur in the predicted position around the search for a matching target tracking algorithm to improve the efficiency. In determining the occlusion occurs case taken to increase the number of frames that can be tolerated continuous method, only the predicted correction target motion, while the threshold value is updated to maintain the target feature template continuous tracking of the target. Success in a single camcorder target tracking based on the proposed use of the cumulative target blocks feature template method to complete the non-overlapping horizons domain matching target association between multiple cameras to reduce the light, and the target exercise posture change on the target characteristics. Finally, the proposed algorithm in the actual scene experiments were carried out, the results show that the shadow removal algorithms thesis intact as much as possible under the premise of the target, you can remove accurate moving shadows. Also, use paper proposes target tracking method that can achieve the target within a single camera in real time, accurate tracking. In single-camera stable tracking target, based on the characteristics of the target block using the template based on the cumulative target handover matching method can be maintained at between non-adjacent cameras continuously tracking the same target, experimental verification of the validity and robustness of the algorithm , to achieve the desired effect.

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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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