We introduce a new SIR particle filter that performs tracking in a joint feature space where pixel domain data are fused with measurements obtained from an 18-channel modulation d...
Colin M. Johnston, Nick A. Mould, Joseph P. Havlic...
Particle filters provide a robust framework for nonlinear and non-Gaussian estimation problems. In this paper, we present a method to incorporate dominant modulation-domain (Ampl...
—This paper presents a novel application of the GPU processing power to a very computationally demanding articulated human body tracking problem in a view-based approach. This wo...
— This paper is concerned with the tracking of partially or entirely occluded objects in a video sequence. We propose certain modifications to the template matching approach, whi...
In this paper we propose a robust visual tracking method
by casting tracking as a sparse approximation problem in a
particle filter framework. In this framework, occlusion, corru...