000 03750nam a22005655i 4500
001 978-0-387-78881-4
003 DE-He213
005 20161121230713.0
007 cr nn 008mamaa
008 110402s2008 xxu| s |||| 0|eng d
020 _a9780387788814
_9978-0-387-78881-4
024 7 _a10.1007/978-0-387-78881-4
_2doi
050 4 _aT385
050 4 _aTA1637-1638
050 4 _aTK7882.P3
072 7 _aUYQV
_2bicssc
072 7 _aCOM016000
_2bisacsh
082 0 4 _a006.6
_223
100 1 _aJaved, Omar.
_eauthor.
245 1 0 _aAutomated Multi-Camera Surveillance: Algorithms and Practice
_h[electronic resource] /
_cby Omar Javed, Mubarak Shah.
264 1 _aBoston, MA :
_bSpringer US,
_c2008.
300 _aX, 110 p. 47 illus.
_bonline resource.
336 _atext
_btxt
_2rdacontent
337 _acomputer
_bc
_2rdamedia
338 _aonline resource
_bcr
_2rdacarrier
347 _atext file
_bPDF
_2rda
490 1 _aThe International Series in Video Computing,
_x1571-5205 ;
_v10
505 0 _aAutomated 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.
520 _aThe deployment of surveillance systems has captured the interest of both the research and the industrial worlds in recent years. The aim of this effort is to increase security and safety in several application domains such as national security, home and bank safety, traffic monitoring and navigation, tourism, and military applications. The video surveillance systems currently in use share one feature: A human operator must monitor them at all times, thus limiting the number of cameras and the area under surveillance and increasing cost. A more advantageous system would have continuous active warning capabilities, able to alert security officials during or even before the happening of a crime. Existing automated surveillance systems can be classified into categories according to: The environment they are primarily designed to observe; The number of sensors that the automated surveillance system can handle; The mobility of sensor. The primary concern of this book is surveillance in an outdoor urban setting, where it is not possible for a single camera to observe the complete area of interest. Multiple cameras are required to observe such large environments. This book discusses and proposes techniques for development of an automated multi-camera surveillance system for outdoor environments, while identifying the important issues that a system needs to cope with in realistic surveillance scenarios. The goal of the research presented in this book is to build systems that can deal effectively with these realistic surveillance needs. .
650 0 _aComputer science.
650 0 _aArtificial intelligence.
650 0 _aComputer graphics.
650 0 _aImage processing.
650 0 _aPattern recognition.
650 0 _aApplication software.
650 1 4 _aComputer Science.
650 2 4 _aComputer Imaging, Vision, Pattern Recognition and Graphics.
650 2 4 _aImage Processing and Computer Vision.
650 2 4 _aPattern Recognition.
650 2 4 _aArtificial Intelligence (incl. Robotics).
650 2 4 _aComputer Applications.
700 1 _aShah, Mubarak.
_eauthor.
710 2 _aSpringerLink (Online service)
773 0 _tSpringer eBooks
776 0 8 _iPrinted edition:
_z9780387788807
830 0 _aThe International Series in Video Computing,
_x1571-5205 ;
_v10
856 4 0 _uhttp://dx.doi.org/10.1007/978-0-387-78881-4
912 _aZDB-2-SCS
950 _aComputer Science (Springer-11645)
999 _c502732
_d502732