Developing an efficient object localization system for complicated industrial objects is an important, yet difficult robotic task. To tackle this problem, we have developed a syst...
We propose a Bayesian framework for representing and recognizing local image motion in terms of two primitive models: translation and motion discontinuity. Motion discontinuities ...
The human face is one of the most important objects in videos since it provides rich information for spotting certain people of interest, such as government leaders in news video,...
Thao Ngoc Nguyen, Thanh Duc Ngo, Duy-Dinh Le, Shin...
Abstract. In this paper we propose a method for automating the process of detecting regions of motion in a video sequence in real time. The main idea of this work is to detect moti...
Abstract. Bayesian inference provides a powerful framework to optimally integrate statistically learned prior knowledge into numerous computer vision algorithms. While the Bayesian...