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Published in:
2010 | OriginalPaper | Chapter
A Novel Motion Detection Approach for Large FOV Cameras
Authors : Hongfei Yu, Wei Liu, Bobo Duan, Huai Yuan, Hong Zhao
Published in: Artificial Intelligence and Computational Intelligence
Publisher: Springer Berlin Heidelberg
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Moving objects detection by an also moving camera plays an important role in driver assistance systems and robot navigations. Many motion detection methods have been proposed until now. But most of them are based on normal cameras with a limited view and not suitable for large FOV (field of view) cameras. For motion detection using large FOV cameras, there are two main challenges. One comes from difficulties to tell moving objects from moving background due to camera motion. The other comes from the image distortion brought by large FOV cameras. These two problems are solved in our approach by a novel motion detector which can be considered as a special motion constraint based on virtual planes. The experimental results under various scenes illustrate the effectiveness of this work.