Biologically inspired detection for temporal texture motion
Motion detection has always been a challenge for computer vision. A large variety of algorithms have been proposed for diverse form applications. Nevertheless, the traditional approaches are mainly based on brightness cues, or rather task-driven. Inspired by biological vision theory, in this paper, a novel second order motion detector is proposed for computer vision applications. The proposed implementation effectively utilizes the high-order motion information, rather than mere luminance pattern. Preliminary tests are conducted on both artificial and natural scenes. The results demonstrate that the proposed second order motion detector can capture effective information from a representative high motion instance, e.g., the temporal texture motion, and thorough analysis suggests that the bio-plausible esploiture may bring some new advantage to image processing practice.
second order motion detector temporal texture motion texture grabber
Bin Sun Kaiyu Qin
Institute of Astronautics and Aeronautics University of Electronic Science and Technology of China Cheng Du, China
国际会议
2011 4th International Congress on Image and Signal Processing(第四届图像与信号处理国际学术会议 CISP 2011)
上海
英文
1326-1330
2011-10-15（万方平台首次上网日期，不代表论文的发表时间）