Visual object tracking under challenging conditions of motion and light can be hindered by the capabilities conventional cameras, prone to producing images with blur. Event cameras are novel sensors suited robustly perform vision tasks these conditions. However, due nature their output, applying them detection is non-trivial. In this work, we propose a framework take advantage both event off-th...

Visual tracking of the human body has attracted increasing attention due to the potential to perform high volume low cost analyses of motions in a wide range of applications, including sports training, rehabilitation and security. In this paper we present the development of a visual tracking module for a system aimed to be used as an autonomous instructional aid for amateur golfers. Postural in...

We present a method of tracking a human target whilst navigating in an unknown environment using a combination of visual and laser range sensing. The target’s legs detected by laser initialize both the pursuit process and modelling of target visual appearance. Intermittent recognition & tracking is possible using the learned visual model, as would likely occur in real pursuit scenarios when the...

Visual tracking is required by many vision applications such as human-computer interfaces and human-robot interactions. However, in daily living spaces where such applications are assumed to be used, stable tracking is often difficult because there are many objects which can cause the visual occlusion. While conventional tracking techniques can handle, to some extent, partial and short-term occ...

This paper presents the development, validation, and deployment of the visual target tracking capability onto the Mars Exploration Rover (MER) mission. Visual target tracking enables targeted driving, in which the rover approaches a designated target in a closed visual feedback loop, increasing the target position accuracy by an order of magnitude and resulting in fewer ground-in-the-loop cycle...