Omar Javed & Mubarak Shah 
Automated Multi-Camera Surveillance [PDF ebook] 
Algorithms and Practice

Ủng hộ

The recent development of intelligent surveillance systems has captured the interest of both academic research labs and industry.
Automated Multi-Camera Surveillance addresses monitoring of people and vehicles, and detection of threatening objects and events in a variety of scenarios. In this book, techniques for development of an automated multi-camera surveillance system are discussed and proposed. The state-of-the-art in the automated surveillance systems is reviewed as well. Detailed explanation of sub-components of surveillance systems are provided, and enhancements to each of these components are proposed. The authors identify important challenges that such a system must address, and propose solutions. Development of a specific surveillance system called “KNIGHT” is described, along with the authors’ experience using it. This book enables the reader to understand the mathematical models and algorithms underlying automated surveillance as well as the benefits and limitations of using such methods.

€96.29
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Mục lục

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.

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Ngôn ngữ Anh ● định dạng PDF ● Trang 110 ● ISBN 9780387788814 ● Kích thước tập tin 10.9 MB ● Nhà xuất bản Springer US ● Thành phố NY ● Quốc gia US ● Được phát hành 2008 ● Có thể tải xuống 24 tháng ● Tiền tệ EUR ● TÔI 2146289 ● Sao chép bảo vệ DRM xã hội

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