Sustained multifocal attention for moving targets requires binding object identities with their locations. The brain mechanisms of identity-location binding during attentive tracking have remained unresolved. In 2 functional magnetic resonance imaging experiments, we measured participants' hemodynamic activity during attentive tracking of multiple objects with equivalent (multiple-object tracki...

How do unique objects affect multiple-object tracking? Recent research has catalogued seemingly contradictory findings, varying from enhanced to impaired tracking performance. In this study, we explore the role of object complexity in this broad range of phenomena. In a series of three experiments, we demonstrate that unique objects of varying complexity can produce both costs and benefits on t...

This paper proposes a visual object contour tracking algorithm using a multi-cue fusion particle filter. A novel contour evolution energy is proposed which integrates an incrementally learnt model of object appearance with a parametric snake model. This energy function is combined with a mixed cascade particle filter tracking algorithm which fuses multiple observation models for object contour ...

One important field in machine vision is object tracking. In most real-world applications, multiple object instances of different classes which influence each others appearance are of interest. Independent treatment of these objects in detection and tracking is not sufficient. In this paper, we present an object tracking algorithm which takes this into account and builds on an Implicit Shape Mo...

A Snake is an active contour for representing object contours. Traditional snake algorithms are often used to represent the contour of a single object. However, if there is more than one object in the image, the snake model must be adaptive to determine the corresponding contour of each object. Also, the previous initialized snake contours risk getting the wrong results when tracking multiple o...

What is the role of attention in multiple-object tracking? Does attention enhance target representations, suppress distractor representations, or both? It is difficult to ask this question in a purely behavioral paradigm without altering the very attentional allocation one is trying to measure. In the present study, we used event-related potentials to examine the early visual evoked responses t...

| Video cameras are among the most commonly used sensors in a large number of applications, ranging from surveillance to smart rooms for videoconferencing. There is a need to develop algorithms for tasks such as detection, tracking, and recognition of objects, specifically using distributed networks of cameras. The projective nature of imaging sensors provides ample challenges for data associat...

Multiple-object tracking is the ability to attend (keep track of) the positions of multiple target items as they move among other items. The performance of young and older adults (M = 19 and 73 years old, respectively) was compared in two versions of a tracking task in which participants were required to monitor the positions of 1-4 moving targets in a field of 10 moving items. All participants...

Investigations of multiple-object tracking aim to further our understanding of how people perform common activities such as driving in traffic. However, tracking tasks in the laboratory have overlooked a crucial component of much real-world object tracking: self-motion. We investigated the hypothesis that keeping track of one's own movement impairs the ability to keep track of other moving obje...