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 |