Image-Centroid Tracking using Filtering Algorithms-A brief Review with Some Results
نویسنده
چکیده
The image-based detection and tracking of moving objects are extremely important for many aerospace and aviation applications, including satellite-based imagery. In this paper, we briefly review various approaches related to image-centroid and/or target tracking. We emphasize square root algorithms that are supposed to be more efficient than the basic implementation of KF. Then, we present some comparative results of image-centroid tracking based on Kalman filtering and U-D factorization square root type algorithm implemented in MATLAB.
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