Object detection and recognition are important problems in computer vision. Since these
problems are meta-heuristic, despite a lot of research, practically usable, intelligent, real …

Face recognition algorithms perform very unreliably when the pose of the probe face is
different from the gallery face: typical feature vectors vary more with pose than with identity …

Humans and many other species sense visual information with varying spatial resolution
across the visual field (foveated vision) and deploy eye movements to actively sample …

Face recognition at a distance is concerned with the automatic recognition of non-
cooperative subjects over a wide area. This remote biométrie collection and identification …

This paper presents a new algorithm to solve the problem of co-saliency detection, ie, to find
the common salient objects that are present in both of a pair of input images. Unlike most …

We propose an adaptive fuzzy particle filter (PF)(AFPF) method adapted to general object
tracking with an IP pan-tilt-zoom (PTZ) camera. PF samples are weighted using fuzzy …

Machine perception of dynamic scenes becomes more and more important for autonomous
vehicles and vision-based driver-assistance systems. Even with other 3D ranging devices …

We describe an architecture for a multi-camera, multi-resolution surveillance system. The
aim is to support a set of distributed static and pan-tilt-zoom (PTZ) cameras and visual …

Current face recognition algorithms require the tacit cooperation of users, who must position
themselves in a small area of space and face the camera. Face recognition in uncontrolled …

In this paper, we propose a method for online upper body tracking using an IP PTZ camera.
This type of camera uses a built-in Web server resulting in variable response times when …