An Extended Motion-Estimation Architecture Applied to Shape Recognition

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 30fps attained. Power results for this extended architecture correlate with power consumption of the existing architecture.

• Type: Conference
• Year: 2005
• Where: ICMCS
• Authors: Jason Schlessman, Sankalita Saha, Wayne Wolf, Shuvra S. Bhattacharyya
• Keywords: Architecture, Extended Architecture Correlate, Feasible Frame Rates, ICMCS 2005