This paper presents a method for improving any object tracking algorithm based on machine learning. During the training phase, important trajectory features are extracted which are...
As motion capture systems are increasingly used for motion tracking and capture, and more and more surveillance cameras are installed for security protection, more and more motion ...
Abstract This paper focuses on human behavior recognition where the main problem is to bridge the semantic gap between the analogue observations of the real world and the symbolic ...
This paper addresses the supervised learning in which the class membership of training data are subject to uncertainty. This problem is tackled in the framework of the Dempster-Sha...
In this paper, we are interested in the relationship between final prices of online auctions and possible shill activities during those auctions. We conduct experiments on real auc...