Camera Networks: The Acquisition and Analysis of Videos over Wide Areas (Paperback)

Amit K. Roy-Chowdhury, Bi Song

  • 出版商: Morgan & Claypool
  • 出版日期: 2012-01-01
  • 定價: $1,400
  • 售價: 9.0$1,260
  • 語言: 英文
  • 頁數: 134
  • 裝訂: Paperback
  • ISBN: 1608456749
  • ISBN-13: 9781608456741
  • 相關分類: 物聯網 IoTComputer Vision
  • 立即出貨 (庫存=1)


As networks of video cameras are installed in many applications like security and surveillance, environmental monitoring, disaster response, and assisted living facilities, among others, image understanding in camera networks is becoming an important area of research and technology development. There are many challenges that need to be addressed in the process. Some of them are listed below:

- Traditional computer vision challenges in tracking and recognition, robustness to pose, illumination, occlusion, clutter, recognition of objects, and activities;

- Aggregating local information for wide area scene understanding, like obtaining stable, long-term tracks of objects;

- Positioning of the cameras and dynamic control of pan-tilt-zoom (PTZ) cameras for optimal sensing;

- Distributed processing and scene analysis algorithms;

- Resource constraints imposed by different applications like security and surveillance, environmental monitoring, disaster response, assisted living facilities, etc.

In this book, we focus on the basic research problems in camera networks, review the current state-of-the-art and present a detailed description of some of the recently developed methodologies. The major underlying theme in all the work presented is to take a network-centric view whereby the overall decisions are made at the network level. This is sometimes achieved by accumulating all the data at a central server, while at other times by exchanging decisions made by individual cameras based on their locally sensed data.

Chapter One starts with an overview of the problems in camera networks and the major research directions. Some of the currently available experimental testbeds are also discussed here. One of the fundamental tasks in the analysis of dynamic scenes is to track objects. Since camera networks cover a large area, the systems need to be able to track over such wide areas where there could be both overlapping and non-overlapping fields of view of the cameras, as addressed in Chapter Two: Distributed processing is another challenge in camera networks and recent methods have shown how to do tracking, pose estimation and calibration in a distributed environment. Consensus algorithms that enable these tasks are described in Chapter Three. Chapter Four summarizes a few approaches on object and activity recognition in both distributed and centralized camera network environments. All these methods have focused primarily on the analysis side given that images are being obtained by the cameras. Efficient utilization of such networks often calls for active sensing, whereby the acquisition and analysis phases are closely linked. We discuss this issue in detail in Chapter Five and show how collaborative and opportunistic sensing in a camera network can be achieved. Finally, Chapter Six concludes the book by highlighting the major directions for future research.

Table of Contents: An Introduction to Camera Networks / Wide-Area Tracking / Distributed Processing in Camera Networks / Object and Activity Recognition / Active Sensing / Future Research Directions


- 在追踪和識別中的傳統計算機視覺挑戰,如姿態、光照、遮擋、雜亂、對象和活動的識別的魯棒性;
- 聚合局部信息以實現廣域場景理解,例如獲取對象的穩定、長期軌跡;
- 攝像機的定位和全景傾斜變焦(PTZ)攝像機的動態控制,以實現最佳感知;
- 分散處理和場景分析算法;
- 不同應用(如安全監控、環境監測、災害應對、輔助生活設施等)所施加的資源限制。



目錄:攝像機網絡簡介 / 廣域追踪 / 攝像機網絡中的分散處理 / 對象和活動識別 / 主動感知 / 未來研究方向