PTZ (pan-tilt-zoom) camera networks have an important role in surveillance systems. They have the ability to direct the attention to interesting events that occur in the scene. In order to achieve such behavior the cameras in the network use a process known as sensor slaving: one (or more) master camera monitors a wide area and tracks moving targets so as to provide the positional information t...

A number of different methods exist for the color characterization of imaging devices such as digital camera systems. In this study, the use of high-order polynomials and artificial neural networks for color camera characterization are compared and contrasted. A quantitative evaluation of their performance is determined for a typical commercial camera system. The importance of independent train...

This work presents a proposal for camera calibration using neural networks of the type multilayer perceptron. Camera calibration is employed in 3-D computer vision for pose determination and it requires a solution of non-linear system of equations. By employing neural network, it becomes unnecessary to know the parameters of the cameras, such as focus, distortions and aspects referent to the ge...

Person re-identification is the task of recognizing or identifying a person across multiple views in multi-camera networks. Although there has been much progress in person reidentification, person re-identification in large-scale multi-camera networks still remains a challenging task because of the large spatio-temporal uncertainty and high complexity due to a large number of cameras and people...

| This paper presents our research towards smart camera networks capable of carrying out advanced surveillance tasks with little or no human supervision. A unique centerpiece of our work is the combination of computer graphics, artificial life, and computer vision simulation technologies to develop such networks and experiment with them. Specifically, we demonstrate a smart camera network compr...

7 ABSTRACT | This paper presents our research towards smart 8 camera networks capable of carrying out advanced surveil9 lance tasks with little or no human supervision. A unique 10 centerpiece of our work is the combination of computer 11 graphics, artificial life, and computer vision simulation tech12 nologies to develop such networks and experiment with them. 13 Specifically, we demonstrate a...

Designing computer vision algorithms for camera networks requires an understanding of how images of the same scene from different viewpoints are related. This chapter introduces the basics of multiview geometry in computer vision, including image formation and camera matrices, epipolar geometry and the fundamental matrix, projective transformations, and N -camera geometry. We also discuss featu...