Title :
The implementation of shadow suppression in intelligent tracking system
Author :
Li, Ying ; Guan, Qing ; Xu, Sheng ; Feng, Shi-Min
Author_Institution :
Sch. of Commun. & Inf., Univ. of Electron. Sci. & Technol. of China, Chengdu, China
Abstract :
This paper aims to describe the implementation of shadow suppression algorithm in an intelligent tracking system based on multimedia digital signal processor (DSP). In our application, the fast filling and noise elimination algorithm is added to improve the accuracy of shadow suppression. In order to achieve real-time performance, several optimization techniques have been applied to shadow suppression. The algorithm level optimization simplifies the complexity of the algorithm. The program level and instruction level optimization are inspired by the characteristic of the processor chip. These methods might be general-propose for the MCUs or CPUs with pipeline feature. Experimental results show that the optimization greatly reduces the CPU load and contributes more time to the future work.
Keywords :
automated highways; computational complexity; digital signal processing chips; image denoising; image motion analysis; multimedia computing; object detection; object recognition; surveillance; tracking; CPU; DSP chip; MCU; algorithm complexity; algorithm level optimization; fast filling algorithm; instruction level optimization; intelligent tracking system; intelligent visual traffic surveillance system; moving object detection; moving object recognition; multimedia digital signal processor chip; noise elimination algorithm; pipeline feature; program level optimization; shadow suppression algorithm; Filling; Instruments; Intelligent systems; Noise robustness; Object detection; Object recognition; Optimization methods; Real time systems; Signal processing algorithms; Surveillance;
Conference_Titel :
Communications, Circuits and Systems, 2009. ICCCAS 2009. International Conference on
Conference_Location :
Milpitas, CA
Print_ISBN :
978-1-4244-4886-9
Electronic_ISBN :
978-1-4244-4888-3
DOI :
10.1109/ICCCAS.2009.5250458