Bilateral Filtering-Based Optical Flow Estimation with Occlusion Detection

Using the variational approaches to estimate optical flow between two frames, the flow discontinuities between different motion fields are usually not distinguished even when an anisotropic diffusion operator is applied. In this paper, we propose a multi-cue driven adaptive bilateral filter to regularize the flow computation, which is able to achieve the smoothly varied optical flow field with highly desirable motion discontinuities. First, we separate the traditional one-step variational updating model into a two-step filtering-based updating model. Then, employing our occlusion detector, we reformulate the energy functional of optical flow estimation by explicitly introducing an occlusion term to balance the energy loss due to the occlusion or mismatches. Furthermore, based on the twostep updating framework, a novel multi-cue driven bilateral filter is proposed to substitute the original anisotropic diffusion process, and it is able to adaptively control the diffusion process accordi...

• Type: Conference
• Year: 2006
• Where: ECCV
• Authors: Jiangjian Xiao, Hui Cheng, Harpreet S. Sawhney, Cen Rao, Michael A. Isnardi
• Keywords: Accurate Flow Discontinuities, Computer Vision, Desirable Motion Discontinuities, ECCV 2006, Occlusion Detector, Optical Flow Estimation, Optical Flow Field