In this paper, we present a review of existing techniques and systems for tracking multiple
occluding objects using one or more cameras. Following a formulation of the occlusion …

The performance of dynamic scene algorithms often suffers because of the inability to
effectively acquire features on the targets, particularly when they are distributed over a wide …

Face recognition has been regarded as an effective method for subject identification at a
distance because of its covert and remote sensing capability. However, face images have a …

In recent years, vision based technologies have gained immense attention across academia-
industries to enable optimal surveillance solution for event monitoring, analysis and control …

Artificial vision is a powerful observation tool for research in the field of livestock production.
So, based on the search and recognition of colour spots in images, a digital image …

A prototype system for implementing a reliable sensor network for large scale smart
environments is presented. Most applications within any form of smart environments (rooms …

Face recognition systems typically have a rather short operating distance with standoff
(distance between the camera and the subject) limited to 1~ 2 meters. When these systems …

Surveillance of a scene with computer vision faces the challenge of meeting two competing
design objectives simultaneously: maintain a sufficient field-of-view coverage and provide …

We propose a control mechanism to obtain opportunistic high resolution facial imagery, via
distributed constrained optimization of the pan, tilt, zoom (PTZ) parameters for each camera …

This paper presents a multiple people counting using only single camera, entering or exiting
in a region of interest. Sigma-Delta background modeling and subtraction is used to …