Intelligent Multimedia Surveillance, 1st Edition

  • Published By:
  • ISBN-10: 3642415121
  • ISBN-13: 9783642415128
  • DDC: 006.3
  • Grade Level Range: College Freshman - College Senior
  • 192 Pages | eBook
  • Original Copyright 2013 | Published/Released May 2014
  • This publication's content originally published in print form: 2013

  • Price:  Sign in for price



Intelligent multimedia surveillance concerns the analysis of multiple sensing inputs including video and audio streams, radio-frequency identification (RFID), and depth data. These data are processed for the automated detection and tracking of people, vehicles, and other objects. The goal is to locate moving targets, to understand their behavior, and to detect suspicious or abnormal activities for crime prevention. Despite its benefits, there is societal apprehension regarding the use of such technology, so an important challenge in this research area is to balance public safety and privacy.  This edited book presents recent findings in the field of intelligent multimedia surveillance emerging from disciplines such as multimedia computing, computer vision, and artificial intelligence. It consists of nine chapters addressing intelligent video surveillance, video analysis of crowds, privacy issues in intelligent multimedia surveillance, RFID technology for localization of objects, object tracking using visual saliency information, estimating multiresolution depth using active stereo vision, and performance evaluation for video surveillance systems. The book will be of value to researchers and practitioners working on related problems in security, multimedia, and artificial intelligence.

Table of Contents

Front Cover.
Half Title Page.
Title Page.
Copyright Page.
1: Intelligent Video Surveillance as a Service.
2: A Literature Review on Video Analytics of Crowded Scenes.
3: Privacy and Security in Video Surveillance.
4: Object Video Streams: A Framework for Preserving Privacy in Video Surveillance.
5: Surveillance Privacy Protection.
6: RFID Localization Improved by Motion Segmentation in Multimedia Surveillance Systems.
7: A Particle Filter Framework for Object Tracking Using Visual-Saliency Information.
8: Multiresolution Depth Map Estimation in PTZ Camera Network.
9: Performance Evaluation in Video-Surveillance Systems: The EventVideo Project Evaluation Protocols.