A novel motion detection approach for large FOV cameras

Authors:
Hongfei Yu;Wei Liu;Bobo Duan;Huai Yuan;Hong Zhao
Affiliations:
Software Center of Northeastern University, Shenyang, China;Software Center of Northeastern University, Shenyang, China;Software Center of Northeastern University, Shenyang, China;Software Center of Northeastern University, Shenyang, China;Software Center of Northeastern University, Shenyang, China
Venue:
AICI'10 Proceedings of the 2010 international conference on Artificial intelligence and computational intelligence: Part I
Year:
2010

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Abstract

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.