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We propose a general model for detection of both the first-order motion and the second-order motion. In this model an input stimulus is divided into a number of spatiotemporal local regions partially overlapping each other. Spatiotemporal frequency analysis is done for every local region using Gabor filters. Then an input stimulus (original spatiotemporal signal) is replaced by the outputs of Gabor filters. Local motion is detected by applying Gabor motion detectors to each local spatiotemporal. pattern depicted by each local feature values. Outputs of all the detectors are integrated to give the final output for global motion of an input stimulus. The model was simulated on a computer and was confirmed to detect the second-order motion as well as the first-order motion correctly.