"Dense Optical Flow Estimation Using Sparse Regularizers from Reduced M" by Muhammad Wasim Nawaz, Abdesselam Bouzerdoum et al.
Optical flow is the pattern of apparent motion of objects in a scene. The computation of optical flow is a critical component in numerous computer vision tasks such as object detection, visual object tracking, and activity recognition. Despite a lot of research, efficiently managing abrupt changes in motion remains a challenge in motion estimation. This paper proposes novel variational regularization methods to address this problem since they allow combining different mathematical concepts into a joint energy minimization framework. In this work, we incorporate concepts from signal sparsity in...
Source: uow.edu.au
