Skip to Main Content
Skip Nav Destination
ASME Press Select Proceedings
International Conference on Advanced Computer Theory and Engineering, 4th (ICACTE 2011)
By
Yi Xie
Yi Xie
Search for other works by this author on:
ISBN:
9780791859933
No. of Pages:
840
Publisher:
ASME Press
Publication date:
2011

This paper proposes a system for automatic video analysis to detect events in video sequences with crowds of people. In detail, the proposed system consists of three subsystems: 1) the first identifies the motion areas, resorting to chaos theory using joint histogram between consecutive frames, 2) the second one creates a flow motion map that describes the behavior of motion pixels by using Lagrangian Particle Dynamics Theory and, 3) the last one uses self organizing maps (SOM) for segmenting the flow motion map in order to detect events.

The proposed method was tested on a set of 30 videos, describing crowds in different scenarios, collected from the BBC Motion Gallery, achieving an average accuracy of about 87% in detecting events such as people stopping, people laying on the ground, group of people fighting, obstacles on the road and long queues.

Abstract
Key Words
1. Introduction
2. The Proposed System
3. Chaos Theory for Motion MAP Estimation
4. Image Segmentation Using Lagrange Particle Dynamics Theory
5. Experimental Results
6. Concluding Remarks
7. References
This content is only available via PDF.
You do not currently have access to this chapter.
Close Modal

or Create an Account

Close Modal
Close Modal