W4: Real-Time Surveillance of People and Their Activities
IEEE Transactions on Pattern Analysis and Machine Intelligence
A compact algorithm for rectification of stereo pairs
Machine Vision and Applications
On Robust Rectification for Uncalibrated Images
ICIAP '99 Proceedings of the 10th International Conference on Image Analysis and Processing
Advances in Computational Stereo
IEEE Transactions on Pattern Analysis and Machine Intelligence
Distinctive Image Features from Scale-Invariant Keypoints
International Journal of Computer Vision
Using Stationary-Dynamic Camera Assemblies for Wide-area Video Surveillance and Selective Attention
CVPR '06 Proceedings of the 2006 IEEE Computer Society Conference on Computer Vision and Pattern Recognition - Volume 1
Stereo vision using two PTZ cameras
Computer Vision and Image Understanding
A new method of stereo localization using Dual-PTZ-Cameras
ICIRA'12 Proceedings of the 5th international conference on Intelligent Robotics and Applications - Volume Part III
| Hi-index | 0.00 |
In this paper, a stereo framework for a robust real time localization of objects using network’s camera pairs is presented. The stereo system contains a combination of static and pan-tilt-zoom (PTZ) cameras instead of traditional dual head mounted cameras. The proposed novelty consists in applying stereo vision to heterogeneous cameras belonging to a video-surveillance network. First, a look-up-table (LUT) is built with the rectification transformations computed for some predefined pan and tilt values. Then, the LUT is used to compute rectification transformations by means of neural networks for any arbitrary pan and tilt settings. Different zoom levels are compensated by resizing images according to their focal ratio and by applying zero padding. Localization of any object is made using its 3D position information obtained by a modified stereo concept. Experimental results are presented for the localization of moving objects in a parking lot scenario.