Visual tracking has been a challenging problem in computer vision over the decades. The applications of Visual Tracking are far-reaching, ranging from surveillance and monitoring to smart rooms. Occlusion is one of the major challenges that needs to be handled in tracking. In this work, we propose a new method to track objects undergoing occlusion using both sum-of-squared differences (SSD) and...

This paper focuses on parameter identification of a target tracker robot possessing flexible joints using particle swarm optimization (PSO) algorithm. Since, belt and pulley mechanisms are known as flexible joints in robotic systems, their elastic behavior affecting a tracker robot is investigated in this work. First, dynamic equations governing the robot behavior are extracted taking into acco...

This paper introduces a redundant localisation system, combining a low-cost Gaussian pose tracker and a particle filter localiser which is more CPU intensive. Ideally, the Gaussian pose tracker can be used for most of the time and the particle filter localiser switched on only when the Gaussian pose tracker fails. The problem studied here is to determine when the Gaussian pose tracker has faile...

The Tevatron at Fermilab is at present the world’s highest energy particle accelerator. After extensive refurbishments, data taking for Run II started in 2001, and by the end of 2003 over 200 pb of usable integrated luminosity had been accumulated by each Collider experiment, double the total for Run I. In preparation for Run II, the CDF detector also underwent an extensive upgrade. Of special ...

Tracking the movement of rolling leukocytes in vivo contributes to the understanding of the mechanism of the inflammatory process and to the development of anti-inflammatory drugs. Several roadblocks exist that hinder successful automated tracking including the moving background, the severe image noise and clutter, the occlusion of the target leukocyte by other leukocytes and structures, the ji...

Recently, Particle Swarm Optimization (PSO) is introduced as an alternative to Particle Filter (PF) for object tracking. In this work, we compare a PSO tracker with two PF trackers, a classical PF tracker and an Enhanced Particle Filter (EPF) tracker, introduced in this paper. The accuracy of the tracking and, in particular, occlusion handling are considered. The different trackers are implemen...

3D face tracking is an important component for many computer vision applications. Most state-of-the-art tracking algorithms can be characterized as being either intensityor feature-based. The intensity-based tracker relies on the brightness constraint while the feature-based tracker utilizes 2D local feature correspondences. In this paper, we propose a hybrid tracker for robust 3D face tracking...

The deterministic active appearance model (AAM) tracker fails to track objects under occlusion. In this paper, we discuss two approaches to improve this tracker ’s robustness and tracking results. The first approach initialises the AAM tracker with a shape estimate obtained from an active contour, incorporating shape history into the tracker. The second approach combines AAMs and the particle f...