In this work, we propose an unsupervised Bayesian model for the detection of moving objects from dynamic scenes. This unsupervised solution is a three-step approach that uses a st...
Thispaper presents an information-theoreticstudy ofvideo codecs that are based on the principle of source coding with side information at the decoder In contrast to the classical ...
Prakash Ishwar, Vinod M. Prabhakaran, Kannan Ramch...
This paper deals with fast image and video segmentation using active contours. Region based active contours using level-sets are powerful techniques for video segmentation but the...
Gradient-based optical flow estimation methods such as LucasKanade method work well for scenes with small displacements but fail when objects move with large displacements. Hierar...
Analyzing, visualizing, and illustrating changes within time-varying volumetric data is challenging due to the dynamic changes occurring between timesteps. The changes and variatio...