Real-Time Object Detection System on PAC Duo Platform

摘要：

State-of-the-art object detection methods are usually developed on a PC-based platform in consideration of its implementation feasibility. However, various applications such as car license recognition, lane departure warning system or telecare system require the use of an embedded platform. In this paper, we proposed approaches to migrate object detection algorithm while realizing it on an embedded system. The accomplishment takes advantage of both software parallelism and hardware feature of PACDSP processor to fully utilize its computational resource. These ideas can also apply on other image processing applications with similar operations to largely improve system performance. Experimental result shows that PAC Duo platform can correctly detect up to 10 objects in real-time at a significantly lower DSP working frequency of 150 MHz Furthermore, only 18 KB of program memory and 19.6 KB of internal data memory in the embedded system are used, which reduces the cost of the system com paring to other works.

关键词： Object Detection Embedded Platform

作者: Chao-Yi Cho Jen-Kuei Yang Shau-Yin Tseng I-Hsien Lee Ming-Hwa Sheu

作者单位: Information and Computer Laboratories,Industrial Technology Research Institute,Hsinchu, Taiwan 31040 Grad.School of Engineering Science and Technology National Yunlin University of Science & Technology

会议类型: 国际会议

会议名称: 2010 2nd International Conference on Signal Processing System(2010年信号处理系统国际会议 ICSPS 2010)

会议地点: 大连

会议语种:英文

页码: 585-590

在线出版日期: 2010-07-05（万方平台首次上网日期，不代表论文的发表时间）