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The determination of one's movement through the environment (visual odometry or self-motion estimation) from monocular sources such as video is an important research problem because of its relevance to robotics and autonomous vehicles. The traditional computer vision approach to this problem tracks visual features across frames in order to obtain 2-D image motion estimates from which the camera motion can be derived. We present an alternative scheme which uses the properties of motion sensitivedoi:10.1109/ivcnz.2016.7804435 dblp:conf/ivcnz/CreePAGG16 fatcat:g664aogylna3rdeudguppl6kre