REAL-TIME MOTION ESTIMATION BASED ON EVENT-BASED VISION SENSOR

被引：0

作者：

Lee, Jun Haeng ^{[1
]}

Lee, Kyoobin ^{[1
]}

Ryu, Hyunsurk ^{[1
]}

Park, Paul K. J. ^{[1
]}

Shin, Chang-Woo ^{[1
]}

Woo, Jooyeon ^{[1
]}

Kim, Jun-Seok ^{[1
]}

机构：

[1] SEC, SAIT, San 14, Yongin, Gyeonggi Do, South Korea

来源：

2014 IEEE INTERNATIONAL CONFERENCE ON IMAGE PROCESSING (ICIP) | 2014年

关键词：

dynamic vision sensor; motion estimation;

D O I：

暂无

中图分类号：

TP301 [理论、方法];

学科分类号：

081202 ;

摘要：

Fast and efficient motion estimation is essential for a number of applications including the gesture-based user interface (UI) for portable devices like smart phones. In this paper, we propose a highly efficient method that can estimate four degree of freedom (DOF) motional components of a moving object based on an event-based vision sensor, the dynamic vision sensor (DVS). The proposed method finds informative events occurred at edges and estimates their velocities for global motion analysis. We will also describe a novel method to correct the aperture problem in the motion estimation.

引用

页码：204 / 208

页数：5

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