Motion displacement estimation using an affine model for image matching
نویسندگان
چکیده
Motion detection is a very important problem both in video image coding and in computer vision. In video coding, motion detection is a necessary task for motion-compensated predictive coding and motion-adaptive frame interpolation to reduce the required channel bandwidth. In computer vision systems, motion detection can be used to infer the 3-D motion and surface structure of moving objects with many applications to robot guidance and remote sensing. Let I (x,y,t) be a spatio-temporal intensity image signal due to a moving object, where p = (x,y) is the (spatial) pixel vector. A well-known approach to estimating 2-D velocities or pixel displacements on the image plane is the standard block matching method, where
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