In this paper, we propose an unsupervised segmentation algorithm for extracting moving objects/regions from compressed video using Markov Random Field (MRF) classification. First,...
: UML currently still lacks a rigorously defined semantics for its models, which makes formally analyzing a model and verifying its properties extremely difficult. To remedy that, ...
A feature selection methodology based on a novel Bhattacharyya space is presented and illustrated with a texture segmentation problem. The Bhattacharyya space is constructed from ...
A new computational model for active visual attention is introduced in this paper. The method extracts motion and shape features from video image sequences, and integrates these f...
This paper addresses the problem of automatically extracting frequently used pedestrian pathways from video sequences of natural outdoor scenes. Path models are learnt from the ac...