Can Silicon Retina Sensors be used for optical motion analysis in sports?
- 作者：S. Litzenberger litzenberger@technikum-wien.at ; A. Sabo sabo@technikum-wien.at
- 关键词：motion analysis ; Silicon Retina ; address-event representation ; dynamic vision sensor
- 刊名：Procedia Engineering
- 出版年：2012
- 期刊代码：P56_18777058
- 类别：et
- 出版时间：2012
- 卷：34
- 期：Complete
- 页码：748-753
- 文件大小：335 K
摘要
Currently optical motion analysis outside of clinical or laboratory setups is a tedious procedure as controlled light conditions, correct camera setup and diffcult post processing of video data are required to ensure a correct marker tracking. In this project we will for the 铿乺st time investigate methods for optical motion analysis on the basis of data acquired by a novel type of biologically inspired vision sensor. These Silicon Retina sensors provide on-chip motion detection and an effcient, event based communication scheme, the address-event representation (AER), ideally suited for capturing, tracing and analyzing high speed motion yielding address event data (AE data). We believe that the approach is superior to the state-of-the-art motion capturing with high frame rate video cameras because it supplies continuous, frame-less motion information with low latency (螖t = 10 ns) and high temporal resolution at low data rates. A simple movement (free fall) is analysed and data are evaluated against two different state-of-the-art motion analysis systems (infrared cameras (Vicon Bonita (240 Hz)), full frame camera (Basler 602fc (300 Hz)). Using Pearson's correlation coeffcient it is shown that the trajectories highly correlate between all three systems (r 鈮?0.999) but object tracking algorithms for AE data need further enhancement. Furthermore more complex movements were 铿乴med and visually compared to frame based data. It is concluded that AE data could prove to be bene铿乧ial for certain motion analysis tasks although algorithms have to be developed to fully exploit the nature of the signal.