Multi-object Tracking for Mobile Navigation in Outdoor with Embedded Tracker
Robotic tracking is a key problem in the robotic system which is more challenging in outdoor environment. This paper presents a new type of embedded smart tracker with a method of Omni-vision tracking. The central components the smart tracker equipped with are: a Digital Signal Processor (DSP), a Field-Programmable Gate Array (FPGA), a CMOS image sensor and a Fisheye lens . The natural target we choose is the overhead street lamps. An improved tracking method based on Mean Shift Embedded Particle Filter is transplanted into the embedded platform to realize the stable and real-time multi-objective tracking. Experimental results show that compared with traditional tracking algorithm, the tracking instruments have good tracking performance, basically meet real-time performance, accuracy and robustness requirement.
Omni-vision multi-object tracking embedded smart tracker.
Yan Xu Meilian Sun Zuoliang Cao Jianpeng Liang Tao Li
School of Mechanical Engineering Tianjin University of Technology Tianjin, China
国际会议
2011 Seventh International Conference on Natural Computation(第七届自然计算国际会议 ICNC 2011)
上海
英文
1765-1769
2011-07-26（万方平台首次上网日期，不代表论文的发表时间）