Abstract—We present an active stereo vision system composed by two pan-tilt-zoom (PTZ) cameras for video surveillance applications. The rectification of stereo images is performed based on the sigmoid interpolation with a set of neural networks. The orientation parameters (pan and tilt values) and the rectification transformations of corresponding images are used as the input-output pairs for network’s training. The input data is directly read from cameras, whereas the output data is computed off-line. The trained neural network is used to interpolate rectification transformations in real time for the stereo images captured at arbitrary pan and tilt settings. The correspondence between the stereo images is obtained using a chain of homograp...
The construction of a model of the background of a scene still remains as a challenging task in vid...
AbstrAct Purpose: Improve the generalization capability and speed of back-propagation neural network...
Video surveillance systems are no longer a collection of independent cameras, manually controlled by...
In this paper, a stereo framework for the robust real time localization of objects using network's...
In this paper, we present a cooperative stereo system based on two pant-tilt-zoom (PTZ) cameras that...
In this chapter, a smart framework is presented for the object localization on a given ground-plane ...
an-tilt-zoom (PTZ) cameras are able to dynamically modify their field of view (FOV). This functional...
Stereo-pair images obtained from two cameras can be used to compute three-dimensional (3D) world coo...
This study describes a full model of calibrating an omnidirectional stereo vision system, which incl...
This study describes a full model of calibrating an omnidirectional stereo vision system, which incl...
This paper investigates the problem of finding the perspective projection and the stereo localizatio...
In this paper, we describe a system for smart surveillance using stereo images with applications to ...
In this paper, we describe a system for smart surveillance using stereo images with applications to ...
In modern video surveillance systems, pan-tilt-zoom (PTZ) cameras certainly have the potential to al...
In modern video surveillance systems, pan-tilt-zoom (PTZ) cameras certainly have the potential to al...
The construction of a model of the background of a scene still remains as a challenging task in vid...
AbstrAct Purpose: Improve the generalization capability and speed of back-propagation neural network...
Video surveillance systems are no longer a collection of independent cameras, manually controlled by...
In this paper, a stereo framework for the robust real time localization of objects using network's...
In this paper, we present a cooperative stereo system based on two pant-tilt-zoom (PTZ) cameras that...
In this chapter, a smart framework is presented for the object localization on a given ground-plane ...
an-tilt-zoom (PTZ) cameras are able to dynamically modify their field of view (FOV). This functional...
Stereo-pair images obtained from two cameras can be used to compute three-dimensional (3D) world coo...
This study describes a full model of calibrating an omnidirectional stereo vision system, which incl...
This study describes a full model of calibrating an omnidirectional stereo vision system, which incl...
This paper investigates the problem of finding the perspective projection and the stereo localizatio...
In this paper, we describe a system for smart surveillance using stereo images with applications to ...
In this paper, we describe a system for smart surveillance using stereo images with applications to ...
In modern video surveillance systems, pan-tilt-zoom (PTZ) cameras certainly have the potential to al...
In modern video surveillance systems, pan-tilt-zoom (PTZ) cameras certainly have the potential to al...
The construction of a model of the background of a scene still remains as a challenging task in vid...
AbstrAct Purpose: Improve the generalization capability and speed of back-propagation neural network...
Video surveillance systems are no longer a collection of independent cameras, manually controlled by...