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This paper introduces an efficient hardware accelerated feature extraction architecture with a high spec of 1920×1080 image resolution at 120 fps. We choose MoFREAK feature [1] to implement in our real-time action recognition system. MoFREAK is a local spatio-temporal feature, which combines the appearance and motion descriptor independently. We design a two phase architecture to balance the throughput...
We present an algorithm that integrates image co-segmentation into feature matching, and can robustly yield accurate and dense feature correspondences. Inspired by the fact that correct feature correspondences on the same object typically have coherent transformations, we cast the task of feature matching as a density estimation problem in the homography space. Specifically, we project the homographies...
This paper proposes a new approach for video stabilization. Most existing video stabilization methods adopt a framework of three steps, motion estimation, motion compensation and image composition. Camera motion is often estimated based on pairwise registration between frames. Thus, these methods often assume static scenes or distant backgrounds. Furthermore, for scenes with moving objects, robust...
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