Oriented Structure of the Occlusion Distortion: Is It Reliable?
IEEE Transactions on Pattern Analysis and Machine Intelligence
Motion estimation of transparent objects in the frequency domain
Signal Processing
Extraction and Analysis of Multiple Periodic Motions in Video Sequences
IEEE Transactions on Pattern Analysis and Machine Intelligence
Computer Vision and Image Understanding
Estimation of motions in color image sequences using hypercomplex fourier transforms
IEEE Transactions on Image Processing
Estimation of multiple periodic motions from video
ECCV'06 Proceedings of the 9th European conference on Computer Vision - Volume Part I
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Motion discontinuities arise when there are occlusions or multiple moving objects in the scene that is imaged. Conventional regularization techniques use smoothness constraints but are not applicable to motion discontinuities. In this paper, we show that discontinuous (or multiple) motion estimation can be viewed as a multicomponent harmonic retrieval problem. From this viewpoint, a number of established techniques for harmonic retrieval ran be applied to solve the challenging problem of discontinuous (or multiple) motion. Compared with existing techniques, the resulting algorithm is not iterative, which not only implies computational efficiency but also obviates concerns regarding convergence or local minima. It also adds flexibility to spatio-temporal techniques which have suffered from lack of explicit modeling of discontinuous motion. Experimental verification of our framework on both synthetic data as well as real image data is provided