Title :
Real Time Tracking Multiple YUV 24-Bit Color Objects with 8-Bit MCU-Based Embedded Vision System
Author :
Nguyen, Hoang-Nam ; Lee, An-Chen
Author_Institution :
Mech. Eng. Dept., Nat. Chiao Tung Univ., Hsinchu, Taiwan
Abstract :
We propose a novel framework in which simple and suitable hardware design accompanied with effective software algorithm to boost the performance of an 8-bit MCU-based embedded vision system to the level of a PC-based one. Our goal is to build a small and low cost 8-bit MCU-based embedded vision system in the form of an intelligent sensor to track multiple YUV 24-bit color objects in real time. Our system uses Atmel AVR 8-bit microcontroller ATmega64, which was connected directly to the C3088 camera module using the Omnivision OV6620 CMOS image sensor, eliminating the need of a frame-grabber. It is a functioning vision system, with a well-defined interface that is accessible through a standard serial port, providing high-level, post-processed image information to a primary system (PC, another microcontroller, etc.).
Keywords :
CMOS image sensors; computer vision; embedded systems; image colour analysis; image segmentation; intelligent sensors; software engineering; tracking; Atmel AVR 8-bit microcontroller ATmega64; C3088 camera module; MCU-based embedded vision system; Omnivision OV6620 CMOS image sensor; frame grabber elimination; hardware design; intelligent sensor; multiple YUV 24-bit color object real time tracking; post-processed image information; software algorithm; Algorithm design and analysis; CMOS image sensors; Costs; Embedded software; Hardware; Machine vision; Microcontrollers; Real time systems; Software algorithms; Software performance;
Conference_Titel :
Innovative Computing, Information and Control (ICICIC), 2009 Fourth International Conference on
Conference_Location :
Kaohsiung
Print_ISBN :
978-1-4244-5543-0
DOI :
10.1109/ICICIC.2009.303