A FEATURE BASED MOTION ESTIMATION FOR VEHICLE GUIDANCE

被引：0
作者：
Ambekar, Onkar [1 ]
Fernandes, Ernani [2 ]
Hoepfel, Dieter [1 ]
机构：
[1] Univ Appl Sci Karlsruhe, Karlsruhe, Germany
[2] Valeo Switches & Detect Syst GmbH, Wemding, Germany
来源：
COMPUTER VISION AND GRAPHICS (ICCVG 2004) | 2006年 / 32卷
关键词：
Machine vision; real tune processing; motion estimation; feature tracking;
D O I：
10.1007/1-4020-4179-9_101
中图分类号：
TP18 [人工智能理论];
学科分类号：
081104 ; 0812 ; 0835 ; 1405 ;
摘要：
Motion estimation is a key issue in the research for intelligent vehicles. In this paper, we implement a real-time motion estimation technique based on Kanade-Lucas-Tomasi technique. This algorithm is composed of two parts: feature (corners) selection, and tracking within consecutive frames. Experimental results on image sequence of a outdoor scene prove the high accuracy and robustness of the algorithm.
引用
收藏
页码：703 / 708
页数：6
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