Vehicle Ego-Motion Estimation and Moving Object Detection using a Monocular Camera

This paper proposes a method for estimating the ego-motion of the vehicle and for detecting moving objects on roads by using a vehicle mounted monocular camera. There are two problems in ego-motion estimation. Firstly, a typical road scene contains moving objects such as other vehicles. Secondly, roads display fewer feature points compared to the number associated with background structures. In our approach, ego-motion is estimated from the correspondences of feature points extracted from various regions other than those in which objects are moving. After estimating the ego-motion, the three dimensional structure of the scene is reconstructed and any moving objects are detected. In our experiments, it has been shown that the proposed method is able to detect moving objects such as vehicles and pedestrians