Method of video motion detection by adjusting the fields' length in the temporal domain and selecting the configurable patterns in the spatial domain

摘要

A method for separating the motion and stationary video pixels during the video de-interlacing process by adjusting the fields' length in the temporal domain and selecting the configurable patterns in the spatial domain, and the method comprises steps of: providing an interlaced video sequence of continuous temporal domain, the interlaced video sequence contains multiple first Fields (such as odd fields) and multiple second Fields (such as even fields), and the multiple first Fields (such as odd fields) and multiple second Fields (such as even fields) are mutually interlaced videos. Further more, the multiple second Fields (such as even fields) also contains a target field to be processed and the target field contains a target pixel to be processed; detecting a first state; the first state represents a relative target pixel in the multiple first Fields (such as odd fields) is constant; detecting a second state; the second state represents, in the multiple second Fields (such as even fields), the first pixel of one Line of the spatial coordinate location related to the target pixel, and the second pixel of the next Line of the spatial coordinate location related to the target pixel are both constant; where the first pixel, the second pixel, and the pixel of the spatial coordinate location related to the target pixel are on the same Line; detecting a third State; the third State represents, in the target field, the pixels of the spatial coordinate location of the upper and lower neighbored pixels related to the target pixel are constant; detecting a fourth State; the fourth State represents, in the previous interlaced field and the next interlaced field of the target field, the pixels of the spatial coordinate location of the neighbored left and right pixels related to the target pixel are constant; if the first State and the second State are both satisfied the set criteria, then the target pixel is classified as stationary; and if the third State and the fourth State are both satisfied the set criteria, then the target pixel is classified as motion.