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Real-time tracking of moving objects in natural scenes has taken a great role in computer vision. In order to track the targets, it is necessary to determine the object models, but it is hard to determine them in advance. Moreover, to realize real-time operations, each frame operation should be done in a short time. We propose an automatic filter construction system for tracking objects by filter processing. The filters are designed by the system itself in each environment, and are able to extract their color features which are not contained in other areas. The proposed system generates color filters which can derive feature segments using the clustering process. After that, it reconstructs the filter to obtain better performance by the genetic algorithm. We show how the filters are effective for object detection and tracking a target.