This paper presents a tracking system based on the
technique of gravity-center template [1] to track faces and
localize facial organs such as pupil, eyes, nose and mouth.
Jun Miao, Hongming Zhang, Wen Gao, Gang Deng, Hong...
We describe a system to learn an object template from a video stream, and localize and track the corresponding object in live video. The template is decomposed into a number of lo...
We address the problem of capturing and tracking local correlations among time evolving time series. Our approach is based on comparing the local auto-covariance matrices (via the...
Given an object model and a black-box measure of similarity between the model and candidate targets, we consider visual object tracking as a numerical optimization problem. During...
In this paper we present a new probabilistic feature-based approach to multi-hypothesis global localization and pose tracking. Hypotheses are generated using a constraintbased sea...