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."
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