Inspite extensive research on visual tracking of multiple people in computer vision area, the robustness and usability of visual trackers are still discouraging. Recently, a few laser-based detection and tracking methods have been developed in robotics area. However, poor features provided by laser data make the tracker fail in many situations. In this paper, we present a novel method that aims...

Object visual tracking aims to determine the image configuration of a target region of an object as it moves through a camera's field of view. The visual tracking process consists on matching the target region in successive frames of a sequence of images taken at closelyspaced intervals. Visual tracking has become an important process on various applications as: vision-based control (Hutchinson...

The effects of correct and transformed visual feedback on rhythmic unimanual visuo-motor tracking were examined, focusing on tracking performance (accuracy and stability) and visual search behavior. Twelve participants (reduced to 9 in the analyses) manually tracked an oscillating visual target signal in phase (by moving the hand in the same direction as the target signal) and in antiphase (by ...

The goal of this paper is to review the state-of-the-art progress on visual tracking methods, classify them into different categories, as well as identify future trends. Visual tracking is a fundamental task in many computer vision applications and has been well studied in the last decades. Although numerous approaches have been proposed, robust visual tracking remains a huge challenge. Difficu...

Based on diagnostic performance and eye tracking data, the present study demonstrates that technology-enhanced replays of expert gaze can promote the visual learning of students in clinical visualization-based training.

Due to delays in image acquisition and processing, prediction is a critical factor for successful visual tracking of moving objects (both for humans and for vision machines). This paper explores some alternative techniques for predicting object motion for the purpose of tracking with an active camera system. In particular, one of our goals is to develop a system that will track an object underg...

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, corruption and other challenging issues are addressed seamlessly through a set of trivial templates. Specifically, to find the tracking target at a new frame, each target candidate is sparsely represented in the space spanne...

Eye-tracking is the measurement of eye motions and point of gaze of a viewer. Advances in this technology have been essential to our understanding of many forms of visual learning, including the development of visual expertise. In recent years, these studies have been extended to the medical professions, where eye-tracking technology has helped us to understand acquired visual expertise, as wel...

Elaboration of objects tracking algorithms in image sequences is an important issue for research and application related to visual servoing and more generally for robot vision. A robust extraction and real-time spatiotemporal tracking process of visual cue is indeed one of the keys to success, or to failure, of a visual servoing task. To consider visual servoing within large scale applications,...

The research reported here addresses the problem of detecting and tracking independently moving objects from a moving observer in real time, using corners as object tokens. Local image-plane constraints are employed to solve the correspondence problem removing the need for a 3D motion model. The approach relaxes the restriciive static-world assumption conventionally made, and is therefore capab...