Bio-inspired Motion Estimation with Event-Driven Sensors
This paper presents a method for image motion estimation for event-based sensors. Accurate and fast image flow estimation still challenges Computer Vision. A new paradigm based on asynchronous event-based data provides an interesting alternative and has shown to provide good estimation at high contrast contours by estimating motion based on very accurate timing. However, these techniques still fail in regions of high-frequency texture. This work presents a simple method for locating those regions, and a novel phase-based method for event sensors that estimates more accurately these regions. Finally, we evaluate and compare our results with other state-of-the-art techniques.
KeywordsBio-inspired systems Neuromorphic engineering Motion estimation Event-driven sensors Asynchronous sensors
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- 8.Berner, R., Brandli, C., Yang, M., Liu, S.C., Delbruck, T.: A 240 x 180 10mw 12us latency sparse-output vision sensor for mobile applications. In: 2013 Symposium on VLSI Circuits (VLSIC), pp. C186–C187, June 2013Google Scholar
- 14.Horn, B.K.P., Schunck, B.G.: Determining optical flow. AI vol. 17, pp. 185–203 (1981)Google Scholar
- 15.Lichtsteiner, P., Posch, C., Delbruck, T.: A 128x128 at 120db 15us latency asynchronous temporal contrast vision sensor. IEEE SSC 43(2), 566–576 (2008)Google Scholar
- 16.Lucas, B.D., Kanade, T.: An iterative image registration technique with an application to stereo vision. Conf. on Artificial Intelligence 2, 674–679 (1981)Google Scholar
- 19.Orfanidis, S.: Introduction to Signal Processing, Prentice Hall international editions. Prentice Hall (1996)Google Scholar
- 20.Otte, M., Nagel, H.H.: Optical flow estimation: Advances and comparisons. European Conference Computer Vision 800, 49–60 (1994)Google Scholar
- 21.Sun, D., Roth, S., Black, M.J.: Secrets of optical flow estimation and their principles. In: Computer Vision and Pattern Recognition, pp. 2432–2439 (2010)Google Scholar
- 25.Watson, A.B.: Model of human visual-motion sensing. Journal of The Optical Society of America A-optics Image Science and Vision 2 (1985)Google Scholar