Introduction to Intelligent Surveillance: Surveillance Data Capture, Transmission, and Analytics
暫譯: 智能監控導論:監控數據捕獲、傳輸與分析

Wei Qi Yan

  • 出版商: Springer
  • 出版日期: 2018-05-12
  • 售價: $2,710
  • 貴賓價: 9.5$2,575
  • 語言: 英文
  • 頁數: 191
  • 裝訂: Paperback
  • ISBN: 331986811X
  • ISBN-13: 9783319868110
  • 海外代購書籍(需單獨結帳)

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商品描述

This accessible textbook/reference reviews the fundamental concepts and practical issues involved in designing digital surveillance systems that fully exploit the power of intelligent computing techniques. The book presents comprehensive coverage of all aspects of such systems, from camera calibration and data capture, to the secure transmission of surveillance data. In addition to the detection and recognition of objects and biometric features, the text also examines the automated observation of surveillance events, and how this can be enhanced through the use of deep learning methods and supercomputing technology. This updated new edition features extended coverage on face detection, pedestrian detection and privacy preservation for intelligent surveillance.

Topics and features: contains review questions and exercises in every chapter, together with a glossary; describes the essentials of implementing an intelligent surveillance system and analyzing surveillance data, including a range of biometric characteristics; examines the importance of network security and digital forensics in the communication of surveillance data, as well as issues of issues of privacy and ethics; discusses the Viola-Jones object detection method, and the HOG algorithm for pedestrian and human behavior recognition; reviews the use of artificial intelligence for automated monitoring of surveillance events, and decision-making approaches to determine the need for human intervention; presents a case study on a system that triggers an alarm when a vehicle fails to stop at a red light, and identifies the vehicle’s license plate number; investigates the use of cutting-edge supercomputing technologies for digital surveillance, such as FPGA, GPU and parallel computing.

This concise, classroom-tested textbook is ideal for undergraduate and postgraduate-level courses on intelligent surveillance. Researchers interested in entering this area will also find the book suitable as a helpful self-study reference.

商品描述(中文翻譯)

這本易於理解的教科書/參考書回顧了設計數位監控系統所涉及的基本概念和實際問題,這些系統充分利用了智能計算技術的強大功能。該書全面涵蓋了此類系統的各個方面,從攝影機校準和數據捕獲,到監控數據的安全傳輸。除了對物體和生物特徵的檢測和識別外,文本還探討了監控事件的自動觀察,以及如何通過使用深度學習方法和超級計算技術來增強這一過程。本次更新的新版本擴展了對人臉檢測、行人檢測和智能監控的隱私保護的涵蓋範圍。

主題和特點:每章包含回顧問題和練習,並附有詞彙表;描述實施智能監控系統和分析監控數據的基本要素,包括一系列生物特徵;檢視網絡安全和數位取證在監控數據傳輸中的重要性,以及隱私和倫理問題;討論Viola-Jones物體檢測方法和HOG算法在行人和人類行為識別中的應用;回顧人工智慧在監控事件自動監控中的使用,以及決策方法以確定是否需要人類介入;呈現一個案例研究,該系統在車輛未在紅燈前停下時觸發警報,並識別車輛的牌照號碼;調查尖端超級計算技術在數位監控中的應用,如FPGA、GPU和並行計算。

這本簡明、經過課堂測試的教科書非常適合本科和研究生級別的智能監控課程。對於有興趣進入這一領域的研究人員來說,這本書也適合作為有用的自學參考資料。