Color Image Optical Flow Estimation Algorithm with Shadow Suppression

A new optical flow estimation algorithm for color image is proposed to overcome the influence of shadows and improve the accuracy of optical flow estimation. Its idea is to compute optical flow of the color invariant space and then fuse the result with optical flow of the RGB space. Firstly, it computes edge strength from color invariants of two adjacent frames to build three-channel color images, and then computes optical flow of the images we have built before, finally, fuses the result of color invariant optical flow with RGB image optical flow through L¡Þ norm. The experimental results demonstrate that the target regions detected by this method are more robust and accurate under shadow and illumination conditions. Compared with some methods proposed recently, it performs better.