Title :
Infrared Point Target Detection and Tracking Based on DSP
Author :
Hong-Wei, Zhao ; Xiao-lin, Zhang ; Yi-Ming, Qi
Author_Institution :
Jilin Univ., Changchun
fDate :
July 30 2007-Aug. 1 2007
Abstract :
In the embedded real-time image processing system, moving mini point target was detected and tracked. The self-adaptive threshold division and corresponding matching method were employed to detect the moving target and restrain the background noise. And with the memory extrapolate image processing method, the sheltered target was tracked. According to the requirement of image data and algorithm complexity, the simulation was realized on TMS320DM642 board based on TI Company. The results show CPU utilization rate is 83.3%, which could satisfy the real-time requirement, and the image output is smooth with high reliability.
Keywords :
digital signal processing chips; image denoising; image matching; image motion analysis; infrared imaging; target tracking; DSP; TMS320DM642 board; background noise; embedded real-time image processing system; infrared point target detection; matching method; memory extrapolation; moving mini point target; self-adaptive threshold division; target tracking; Background noise; Digital signal processing; Educational institutions; Image processing; Infrared detectors; Infrared imaging; Object detection; Real time systems; Signal processing algorithms; Target tracking;
Conference_Titel :
Software Engineering, Artificial Intelligence, Networking, and Parallel/Distributed Computing, 2007. SNPD 2007. Eighth ACIS International Conference on
Conference_Location :
Qingdao
Print_ISBN :
978-0-7695-2909-7
DOI :
10.1109/SNPD.2007.467
