In this paper we propose a robust object tracking algorithm using a collaborative model. As the main challenge for object tracking is to account for drastic appearance change, we ...
This paper presents a low-cost tracking algorithm based on multiple multiple fragments, increasing robustness with respect to partial occlusions. Given the initial template repres...
In this paper we present a system to robustly estimate the 3D position of a human head. Before the face model is positioned in the initial frame, it is adapted to the 3D scan of t...
Axel Weissenfeld, Onay Urfalioglu, Kang Liu, J&oum...
One of the most popular methods to extract useful informations from an image sequence is the template matching approach. In this well known method the tracking of a certain featur...
In this paper, we propose an efficient method for tracking multiple objects, which deals with occlusion situations in an image. We use Shape from silhouettes method to reconstruct...
Koichiro Deguchi, Koji Hamasaki, Taira Nakajima, T...