High Level Description of Video Surveillance Sequences

Authors:
Patrick Piscaglia;Andrea Cavallaro;Michel Bonnet;Damien Douxchamps
Affiliations:
-;-;-;-
Venue:
ECMAST '99 Proceedings of the 4th European Conference on Multimedia Applications, Services and Techniques
Year:
1999

Citing 6
Cited 0

Advanced Video-Based Surveillance Systems

Advanced Video-Based Surveillance Systems
Towards automatic visual obstacle avoidance

IJCAI'77 Proceedings of the 5th international joint conference on Artificial intelligence - Volume 2
An iterative image registration technique with an application to stereo vision

IJCAI'81 Proceedings of the 7th international joint conference on Artificial intelligence - Volume 2
Antiextensive connected operators for image and sequence processing

IEEE Transactions on Image Processing
Flat zones filtering, connected operators, and filters by reconstruction

IEEE Transactions on Image Processing
Video segmentation based on multiple features for interactive multimedia applications

IEEE Transactions on Circuits and Systems for Video Technology

Quantified Score

Hi-index	0.00

Visualization

Abstract

One of the goals of the ACTS project MODEST is to build an automatic video-surveillance system from a sequence of digital images. The overall system can be divided into the following sub-tasks which are of great interest in the representation of images, namely the automatic segmentation of the video-surveillance sequences, and the extraction of descriptors (such as those in MPEG-7) to represent the objects in the scene and their behaviors.