An Extended Motion-Estimation Architecture Applied to Shape Recognition
Jason Schlessman, S. Saha, Marilyn C. Wolf, Suchimita Bhattacharya · 2005
An architecture for shape recognition is presented, with emphasis on low-latency and power efficiency. This architecture is an extension of an existing architecture used for motion estimation. A number of algorithms were mapped to this architecture. Bounds related to power are given per frame for memory access rates. Face detection within CIPR CIF sequences was used as a target application, with feasible frame rates of 30 fps attained. Power results for this extended architecture correlate with power consumption of the existing architecture