Computing optical flow for motion images sequences by applying multi-constraints to multi-locations

Computing optical flow is one of the most fundamental problem to motion image analysis. Many methods have been proposed for computing optical flow, among them gradient-based methods are the most well-known and most used. A new gradient-based method for the computation of optical flow is proposed. In this method, optical flow is computed by minimizing a weighted least-squares error estimator for a constant motion vector model in a local spatial neighborhood, where the weight of each image location in the neighborhood is determined by its multiple constraints. Several experiments on real and synthetic image sequences have been carried out to verify the efficacy and the reliability of the new method