Abstract
The detection of motion boundaries has been and remains a long-standing challenge in computer vision. In this paper, the recovery of motion boundaries is recast in a broader scope, as focus is placed on the more general problem of detecting spacetime structure boundaries, where motion boundaries constitute a special case. This recasting allows uniform consideration of boundaries between a wider class of spacetime patterns than previously considered in the literature, both coherent motion as well as additional dynamic patterns. Examples of dynamic patterns beyond standard motion that are encompassed by the proposed approach include, flicker, transparency and various dynamic textures (e.g., scintillation). Toward this end, a novel representation and method for detecting these boundaries in raw image sequence data are presented. Central to the representation is the description of oriented spacetime structure in a distributed manner. Empirical evaluation of the proposed boundary detector on challenging natural imagery suggests its efficacy.
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Derpanis, K.G., Wildes, R.P. (2010). Detecting Spatiotemporal Structure Boundaries: Beyond Motion Discontinuities. In: Zha, H., Taniguchi, Ri., Maybank, S. (eds) Computer Vision – ACCV 2009. ACCV 2009. Lecture Notes in Computer Science, vol 5995. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-642-12304-7_29
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DOI: https://doi.org/10.1007/978-3-642-12304-7_29
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