1000-fps Target Tracking Using Vibration-based Image Features
In this paper, we propose a concept for the realtime target tracking of vibrating objects to extract vibration image regions using digital filters at all the pixels in an image, assuming that periodic changes in image intensities exist at pixels around vibrating objects. By combining vibration-based processing with color extraction as a masking process, our algorithm can prevent the latency effect on a digital filter, which may degrade its tracking performance. Digital filters at a pixel level are implemented on a 1000-fps vision system that can measure vibration distribution over a wide range of frequencies. On our target tracking system, we can track a vibrating object at the center of the camera view by controlling a 2-DOF (Degree Of Freedom) active vision system with vibration-based image features. We have verified its effectiveness by presenting several experimental results using objects vibrating at high frequencies, which cannot be observed with the naked eye.
Idaku Ishii Ikuya Ohara Tetsuro Tatebe Takeshi Takaki
Hiroshima University,Hiroshima 739-8527,Japan
国际会议
2011 IEEE International Conference on Robotics and Automation(2011年IEEE世界机器人与自动化大会 ICRA 2011)
上海
英文
1837-1842
2011-05-09（万方平台首次上网日期，不代表论文的发表时间）