Image and Video Compression for Multimedia Engineering
Image and Video Compression for Multimedia Engineering
ICPR '98 Proceedings of the 14th International Conference on Pattern Recognition-Volume 1 - Volume 1
ICCV '03 Proceedings of the Ninth IEEE International Conference on Computer Vision - Volume 2
Optical Flow Estimation and Segmentation of Multiple Moving Dynamic Textures
CVPR '05 Proceedings of the 2005 IEEE Computer Society Conference on Computer Vision and Pattern Recognition (CVPR'05) - Volume 2 - Volume 02
ICCV '05 Proceedings of the Tenth IEEE International Conference on Computer Vision (ICCV'05) Volume 1 - Volume 01
IEEE Transactions on Image Processing
Synergizing spatial and temporal texture
IEEE Transactions on Image Processing
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Characterization of visual processes consisting of multiple temporal textures is of vital importance to computer vision research, with a diverse set of applications in the field of robot navigation, remote monitoring (for the prevention of natural disasters), traffic monitoring, and homeland security applications etc. In the current literature of temporal textures, however studies are mostly limited to characterization of single temporal textures. In this paper we aim to address the problem of detecting the presence of multiple temporal textures in an image sequence for real time situations like bushfire monitoring by establishing a correspondence between feature space of temporal textures and that of their mixture in an image sequence. Accuracy of our proposed technique is both analytically and empirically established with detection experiments yielding 92.5% average accurate detection rate on a diverse set of temporal texture mixtures.