IMAGE MOTION DETECTION IN A SCENE CAPTURED BY A MOVING CAMERA

摘要

This paper presents methods for motion detection and estimation of objects in a scene captured by a moving camera. A new iterative algorithm is developed and presented for the correction of geometrical distortion caused by global motion in a scene. A binary hypotheses test is subsequently established to classify the pixels in the corrected image as either locally moving (object motion) or not moving (stationary). The developed method incorporates estimates of additive white Gaussian noise in all steps and is therefore more robust than simple change detection method.