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This paper presents a novel disparity map refinement method and vision based surveillance framework for the task of detecting objects of interest in dynamic outdoor environments from two stereo video sequences taken at different times and from different viewing angles by a mobile camera platform. The proposed framework includes several steps, the first of which computes disparity maps of the same...
The Probabilistic Index Map (PIM) model was originally proposed for video processing to extract background of video frames. In this paper, we introduce the PIM model for texture segmentation. We first extract texture features based on Laws and Gabor filters respectively. Then we present a fuzzy k-means method to generate the index map and palette, and use the PIM model to improve the segmentation...
Motion detection is a fundamental and important part of many visual tracking systems and of other computer vision applications. In this paper, we present a robust and effective motion detection method for detecting foreground moving objects even with quick lighting changes and shadows in scenes. The proposed approach integrates YCbCr color features with texture by a fuzzy method based on Choquet integral...
Genetic programming has been applied to various types of vision tasks. This paper extends the use of this powerful problem solving method to a more complex but more common domain, video analysis. We present the methodology as well as the experiments on two video analysis tasks: segmenting texture regions and detecting moving objects. The advantages of GP in this domain can be shown by this study....
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