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Parallel Architecture for Optical Flow Detection Based on FPGA

Optical flow means the movement of an object, it creates a motion effect between observer and seen. It mainly deals with motion analysis; in motion analysis moving body detection is the important part. This analysis combines with modern mechanics like computer vision and has been employed in intelligent control, human computer interaction, surveillance application, and virtual reality. The detection of moving objects from the background image in a video sequence has an effective role to play in follow up treatment such as object classification, target tracking and behaviour savvy. This article focuses to find the moving object by background subtraction and then median filtering is provided. To figure out a complete object, brightness based optimization threshold method also is practiced. The Parallel architecture goal is achieved by using an FPGA for processing over a DSP processor