Chapter 14. Dynamic Scene Analysis: Moving Object Detection and Tracking
Published Online: 20 SEP 2005
DOI: 10.1002/0471745790.ch14
Copyright © 2005 John Wiley & Sons, Inc. All rights reserved.
Book Title
Image Processing: Principles and Applications
Additional Information
How to Cite
Acharya, T. and Ray, A. K. (2005) Dynamic Scene Analysis: Moving Object Detection and Tracking, in Image Processing: Principles and Applications, John Wiley & Sons, Inc., Hoboken, NJ, USA. doi: 10.1002/0471745790.ch14
Publication History
- Published Online: 20 SEP 2005
- Published Print: 19 AUG 2005
ISBN Information
Print ISBN: 9780471719984
Online ISBN: 9780471745792
- Summary
- Chapter
Keywords:
- dynamic scene anaylsis;
- object detection;
- tracking;
- background modeling;
- prediction;
- particle filtering;
- condensation algorithm;
- Kalman filtering
Summary
The detection and classification of moving objects is an important area of research in computer vision. The problem assumes immense importance because of the fact that our visual world is dynamic and we constantly come across video scenes, which contain a finitely large number of moving objects. To segment, detect and track these objects from a video sequence of images is possibly the most important challenge that the vision experts confront today. In this chapter we present the problems and the possible solutions of each subtask in dynamic image analysis such as dynamic background modeling, object detection and tracking techniques. These systems find applications in video surveillance in security systems, traffic surveillance, industrial applications, and many others.