Video security for ambient intelligence

Authors:
L. Snidaro;C. Micheloni;C. Chiavedale
Affiliations:
Dept. of Math. & Comput. Sci., Univ. of Udine, Italy;-;-
Venue:
IEEE Transactions on Systems, Man, and Cybernetics, Part A: Systems and Humans
Year:
2005

Citing 0
Cited 15

People detection and tracking using stereo vision and color

Image and Vision Computing
Adaptive multi-modal stereo people tracking without background modelling

Journal of Visual Communication and Image Representation
A multiple object tracking approach that combines colour and depth information using a confidence measure

Pattern Recognition Letters
Real-Time Detection of Passing Objects Using Virtual Gate and Motion Vector Analysis

UIC '08 Proceedings of the 5th international conference on Ubiquitous Intelligence and Computing
Enabling technologies on hybrid camera networks for behavioral analysis of unattended indoor environments and their surroundings

VNBA '08 Proceedings of the 1st ACM workshop on Vision networks for behavior analysis
A pervasive assistant for nursing and doctoral staff

Proceedings of the 2008 conference on ECAI 2008: 18th European Conference on Artificial Intelligence
A practical several moving objects area extraction using a half-cosine function wavelet network

SMC'09 Proceedings of the 2009 IEEE international conference on Systems, Man and Cybernetics
Coping with multiple residents in a smart environment

Journal of Ambient Intelligence and Smart Environments
People counting in low density video sequences

PSIVT'07 Proceedings of the 2nd Pacific Rim conference on Advances in image and video technology
K-means based segmentation for real-time zenithal people counting

ICIP'09 Proceedings of the 16th IEEE international conference on Image processing
People detection and tracking through stereo vision for human-robot interaction

MICAI'05 Proceedings of the 4th Mexican international conference on Advances in Artificial Intelligence
Fusion of radio and video localization for people tracking

AmI'11 Proceedings of the Second international conference on Ambient Intelligence
Real-time tracking of humans and visualization of their future footsteps in public indoor environments

Multimedia Tools and Applications
Coping with multiple residents in a smart environment

Journal of Ambient Intelligence and Smart Environments
Automatic scene calibration for detecting and tracking people using a single camera

Engineering Applications of Artificial Intelligence

Quantified Score

Hi-index	0.00

Visualization

Abstract

Moving toward the implementation of the intelligent building idea in the framework of ambient intelligence, a video security application for people detection, tracking, and counting in indoor environments is presented in this paper. In addition to security purposes, the system may be employed to estimate the number of accesses in public buildings, as well as the preferred followed routes. Computer vision techniques are used to analyze and process video streams acquired from multiple video cameras. Image segmentation is performed to detect moving regions and to calculate the number of people in the scene. Testing was performed on indoor video sequences with different illumination conditions.