Title :
An Extended Motion-Estimation Architecture Applied to Shape Recognition
Author :
Schlessman, Jason ; Saha, Sankalita ; Wolf, Wayne ; Bhattacharya, Shuvra S.
Author_Institution :
Dept. of Electr. Eng., Princeton Univ., NJ
Abstract :
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
Keywords :
correlation theory; face recognition; image sequences; motion estimation; CIPR CIF sequence; extended architecture correlation; face detection; memory access rate; motion-estimation; power consumption; shape recognition; Algorithm design and analysis; Application specific integrated circuits; Cameras; Face detection; Field programmable gate arrays; Hardware; Humans; Motion estimation; Shape; Surveillance;
Conference_Titel :
Multimedia and Expo, 2005. ICME 2005. IEEE International Conference on
Conference_Location :
Amsterdam
Print_ISBN :
0-7803-9331-7
DOI :
10.1109/ICME.2005.1521718
