Active video surveillance based on stereo and infrared imaging

Authors:
Gabriele Pieri;Davide Moroni
Affiliations:
Institute of Information Science and Technologies, Pisa, Italy;Institute of Information Science and Technologies, Pisa, Italy
Venue:
EURASIP Journal on Advances in Signal Processing
Year:
2008

Citing 11
Cited 0

Detection of independent motion using directional motion estimation

Computer Vision and Image Understanding
The Geometry of Multiple Images: The Laws That Govern The Formation of Images of A Scene and Some of Their Applications

The Geometry of Multiple Images: The Laws That Govern The Formation of Images of A Scene and Some of Their Applications
Efficient region-based motion segmentation for a video monitoring system

Pattern Recognition Letters
On motion detection through a multi-layer neural network architecture

Neural Networks
Tracking Multiple Humans in Complex Situations

IEEE Transactions on Pattern Analysis and Machine Intelligence
Pedestrian Detection and Tracking in Far Infrared Images

CVPRW '04 Proceedings of the 2004 Conference on Computer Vision and Pattern Recognition Workshop (CVPRW'04) Volume 8 - Volume 08
Moving Humans Detection Based on Multi-Modal Sensor Fusion

CVPRW '04 Proceedings of the 2004 Conference on Computer Vision and Pattern Recognition Workshop (CVPRW'04) Volume 8 - Volume 08
Real-Time Wide Area Multi-Camera Stereo Tracking

CVPR '05 Proceedings of the 2005 IEEE Computer Society Conference on Computer Vision and Pattern Recognition (CVPR'05) - Volume 1 - Volume 01
Real Time Robust Human Detection and Tracking System

CVPR '05 Proceedings of the 2005 IEEE Computer Society Conference on Computer Vision and Pattern Recognition (CVPR'05) - Workshops - Volume 03
Human tracking using multiple-camera-based head appearance modeling

FGR' 04 Proceedings of the Sixth IEEE international conference on Automatic face and gesture recognition
Retrieval by shape similarity with perceptual distance andeffective indexing

IEEE Transactions on Multimedia

Quantified Score

Hi-index	0.00

Visualization

Abstract

Video surveillance is a very actual and critical issue at the present time. Within this topics, we address the problem of firstly identifying moving people in a scene through motion detection techniques, and subsequently categorising them in order to identify humans for tracking their movements. The use of stereo cameras, coupled with infrared vision, allows to apply this technique to images acquired through dierent and variable conditions, and allows an a priori filtering based on the characteristics of such images to give evidence to objects emitting a higher radiance (i.e., higher temperature).