Automated Multi-Camera Surveillance: Algorithms and Practice

• Main Authors: Javed, Omar (Author), Shah, Mubarak (Author)
• Corporate Author: SpringerLink (Online service)
• Format: Electronic eBook
• Language: English
• Published: Boston, MA : Springer US, 2008.
• Series: The International Series in Video Computing, 10
• Subjects: Computer science.; Artificial intelligence.; Computer graphics.; Image processing.; Pattern recognition.; Application software.; Computer Science.; Computer Imaging, Vision, Pattern Recognition and Graphics.; Image Processing and Computer Vision.; Pattern Recognition.; Artificial Intelligence (incl. Robotics).; Computer Applications.

The deployment of surveillance systems has captured the interest of both the research and the industrial worlds in recent years. The aim of this effort is to increase security and safety in several application domains such as national security, home and bank safety, traffic monitoring and navigation...

Table of Contents:

• Automated Video Surveillance
• Identifying Regions of Interest in Image Sequences
• Object Detection and Categorization
• Object Tracking in a Single Camera
• Tracking in Multiple Cameras with Disjoint Views
• Knight Surveillance System Deployment
• Concluding Remarks.