When the color or gray level of a moving object is very similar to that of the background, motion-based segmentation methods fail. This leads to ambiguous templates for the moving...
In this paper, we propose an unsupervised segmentation algorithm for extracting moving objects/regions from compressed video using Markov Random Field (MRF) classification. First,...
Most global motion estimation (GME) methods are oriented to video coding while video object segmentation either assume no global motion (GM) or directly adopt a codingoriented met...
Content-based retrieval of 3D human motion capture data has significant impact in different fields such as physical medicine, rehabilitation, and animation. This paper develops ...
Gaurav N. Pradhan, Chuanjun Li, Balakrishnan Prabh...
This paper presents an iterative maximum likelihood framework for motion segmentation via the pairwise checking of pixel blocks. We commence from a characterisation of the motion ...