DocumentCode :
2708328
Title :
A VGA 30-fps optical-flow processor core based on Pyramidal Lucas and Kanade algorithm
Author :
Ishihara, Hajime ; Miyama, Masayuki ; Matsuda, Yoshio ; Murachi, Yuichiro ; Fukuyama, Yuki ; Yamamoto, Ryo ; Miyakoshi, Junichi ; Kawaguchi, Hiroshi ; Yoshimoto, Masahiko
Author_Institution :
Kanazawa Univ., Kanazawa
fYear :
2007
fDate :
12-14 Nov. 2007
Firstpage :
188
Lastpage :
191
Abstract :
This paper describes an optical-flow processor core for real-time video recognition. The processor is based on the Pyramidal Lucas and Kanade algorithm. It has small chip area, a high pixel rate, and high accuracy compared to conventional optical-flow processors. Introduction of search range limitation and the Carman filter to the original algorithm improves the optical-flow accuracy and reduces the processor hardware cost. Furthermore, window interleaving and window overlap methods can reduce the necessary clock frequency of the processor by 70%. The proposed processor can handle a VGA30-fps image sequence with 332 MHz clock frequency. The core size and power consumption in 90-nm process technology are estimated respectively as 3.50 times 3.00 mm2 and 600 mW.
Keywords :
digital signal processing chips; filters; image recognition; image sequences; video signal processing; Carman filter; Kanade algorithm; frequency 332 MHz; optical-flow processor core; pyramidal Lucas algorithm; real-time video recognition; window overlap method; Biomedical imaging; Biomedical optical imaging; Face recognition; Image motion analysis; Image sequences; Medical robotics; Optical filters; Pixel; Vehicle detection; Vehicle safety;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Solid-State Circuits Conference, 2007. ASSCC '07. IEEE Asian
Conference_Location :
Jeju
Print_ISBN :
978-1-4244-1359-1
Electronic_ISBN :
978-1-4244-1360-7
Type :
conf
DOI :
10.1109/ASSCC.2007.4425762
Filename :
4425762
Link To Document :
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