Video Sequence Object tracking and optimization using Particle Filter Morphological Optical Flow Technique

The object tracking in video processing technology has been growing for numerous years. Currently, when people are in conversation with their networks through a visual handset or when people use picture propagation through Internet or digital music such as mp3, the suitability that the digital video developed conveys to us cannot be elapsed. This work establishes object tracking for real time video that finds the motion compensated movie processing by using support vector machine. Firstly, we have occupied an item as the position object or image. Then, the next-in-sequence object is connected with the reference object or image. Each time the sequential object is associated with the reference object, it creates an absolute difference and the summation of all these differences displays its entirety of complete difference.