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The choice of motion models is vital in applications like image/video stitching and video stabilization. Conventional methods explored different approaches ranging from simple global parametric models to complex per-pixel optical flow. Mesh-based warping methods achieve a good balance between computational complexity and model flexibility. However, they typically require high quality feature correspondences...
In this paper, we present a perception sensor network (PSN) system for automatically tracking location and identification of multiple human. We propose a fusion method for seamless human tracking over multiple kinects and for tracking human name using pan-tilt-zoom camera operations. By assistant with PSN, mobile robot understands multiple human' identification and location information while robot...
We study the compression problem of visual scenes acquired with a camera for transmission or storage. Our proposed model is general and includes two well-known cases: that of video coding and that of lightfield data compression. Those two examples are related in that both are characterized by two sources of complexity: the camera motion, and the scenes being acquired. The main difference of the two...
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