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In this paper, we propose a real-time video processing implementation of a Robust Low Complexity Feature Tracking (RLCT) algorithm on GPU (Graphics Processing Unit) using the CUDA (Compute Unified Device Architecture) paradigm. The RLCT outperforms state-of-the-art implementations of pyramidal KLT (Kanade-Lucas-Tomasi) on GPU by removing the overhead of the image pyramid construction, by predicting...
In this paper, we present the Kanade-Lucas-Tomasi (KLT) tracking algorithm coupled with a varying integration window, which tracks a small subset of feature points to initialize the approximate motion model between images. For the remaining larger subset of the feature points initial tracking location is predicted by using this motion model, thus improving the tracking result. For an image of size...
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