In this paper

we propose to use the Graph Cut optical flow estimation with a local space term controlling factor to detect and process the translational occlusion in the optical flow field. The occluding mechanism is firstly analyzed

and the discriminating formula for occlusion is constructed. Based on this time of forward and backward optical flow fields

the next the energy functional is established to control the smoothing direction by adjusting the local space term controlling factor

and the network flow graph is reconstructed. In addition

we show that this algorithm could interrupt the transition of misjudging occlusions between interating. Furthermore

it makes the Graph Cut optical flow estimation deal self-adaptively with these occlusions. The experiments show that this algorithm could detect and process invalid region in the optical flow field caused by occlusion.