International Journal of Computer Vision
ICCV '03 Proceedings of the Ninth IEEE International Conference on Computer Vision - Volume 2
Motion Segmentation Using Occlusions
IEEE Transactions on Pattern Analysis and Machine Intelligence
International Journal of Computer Vision
Efficient Visual Event Detection Using Volumetric Features
ICCV '05 Proceedings of the Tenth IEEE International Conference on Computer Vision (ICCV'05) Volume 1 - Volume 01
Local detection of occlusion boundaries in video
Image and Vision Computing
Histogram-based description of local space-time appearance
SCIA'11 Proceedings of the 17th Scandinavian conference on Image analysis
International Journal of Computer Vision
Detecting spatiotemporal structure boundaries: beyond motion discontinuities
ACCV'09 Proceedings of the 9th Asian conference on Computer Vision - Volume Part II
CVPR '11 Proceedings of the 2011 IEEE Conference on Computer Vision and Pattern Recognition
Spacetime Texture Representation and Recognition Based on a Spatiotemporal Orientation Analysis
IEEE Transactions on Pattern Analysis and Machine Intelligence
IEEE Transactions on Neural Networks
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We present a novel, low-level scheme to analyze spatial and temporal change within a local support region. Assuming available region correspondences between two adjacent frames, we divide each region into a regular grid of patches. Depending on the change of an image function inside the patch over time, each patch is assigned weights for the following four labels: "C" for a constant patch, "O" when new information originates from outside the support region, "I" for "inner" changes, and "N" for information from neighboring patches. Our method goes beyond optical flow, as it provides an additional semantic level of understanding the changes in space-time. We demonstrate how our novel "COIN" scheme can be used to categorize local space-time events in image pairs, including locally planar support regions, 3D discontinuities, and virtual vs. real crossings of 3D structures.