CONTEXT Medicine is a highly visual discipline. Physicians from many specialties constantly use visual information in diagnosis and treatment. However, they are often unable to explain how they use this information. Consequently, it is unclear how to train medical students in this visual processing. Eye tracking is a research technique that may offer answers to these open questions, as it enabl...

Substantial work has been published in visual servoing over the years, yet we have seen few real world applications. We discuss four different milestones (human robot interaction (HRI), tracking, multi-view geometry and visual servoing) needed to bring visual servoing into an unstructured human environment. We focus our efforts on HRI and tracking which we think are the link to bring visual ser...

This chapter introduces visual servo control, using computer vision data in the servo loop to control the motion of a robot. We first describe the basic techniques that are by now well established in the field. We give a general overview of the formulation of the visual servo control problem, and describe the two archetypal visual servo control schemes: image-based and position-based visual ser...

It has been clear for many years that insects use visual cues to stabilize their heading in a wind stream. Many animals track odors carried in the wind. As such, visual stabilization of upwind tracking directly aids in odor tracking. But do olfactory signals directly influence visual tracking behavior independently from wind cues? Also, the recent deluge of research on the neurophysiology and n...

The accuracy and poor real-time performance of moving objects in a dynamic range complex environment become the bottleneck problem of the target location and tracking. In order to improve the positioning accuracy and the quality of tracking service, we propose an embedded tracking algorithm based on multi-feature fusion and visual object compression. On the hand, according to the feature of the...

With the recent advances in eye tracking technology, it is now possible to track surgeons' eye movements while engaged in a surgical task or when surgical residents practice their surgical skills. Several studies have compared eye movements of surgical experts and novices and developed techniques to assess surgical skill on the basis of eye movement utilizing simulators and live surgery. None h...

Developing robust visual tracking algorithms for real-world applications is still a major challenge today. In this paper,we focus on robust object tracking with multiple spectrum imaging sensors. We propose a four-layer probabilistic fusion framework for visual tracking with and beyond visible spectrum imaging sensors. The framework consists of four different layers of a bottom-up fusion proces...