Model-based clustering of motion trajectories can be posed as the problem of learning an underlying mixture density function whose components correspond to motion classes with dif...
: Motion is an important cue for many applications. Here we propose a solution for estimating motion from a sequence of images using three algorithms, viz., Batch, Recursive and Bo...
This paper deals with the problem of estimating multiple motions at points where these motions are overlaid. We present a new approach that is based on block matching and can deal...
The adaptive and powerful coding schemes in H.264 provide significant coding efficiency and some additional merits like error resilience and network friendliness. In spite of thes...
In this paper, a new methodology for optical flow estimation that is able to represent multiple motions is presented. To separate motions at the same location, a new frequency-dom...