000 | 03093nam a22005295i 4500 | ||
---|---|---|---|
001 | 978-3-642-37841-6 | ||
003 | DE-He213 | ||
005 | 20200421111702.0 | ||
007 | cr nn 008mamaa | ||
008 | 131113s2014 gw | s |||| 0|eng d | ||
020 |
_a9783642378416 _9978-3-642-37841-6 |
||
024 | 7 |
_a10.1007/978-3-642-37841-6 _2doi |
|
050 | 4 | _aTK5102.9 | |
050 | 4 | _aTA1637-1638 | |
050 | 4 | _aTK7882.S65 | |
072 | 7 |
_aTTBM _2bicssc |
|
072 | 7 |
_aUYS _2bicssc |
|
072 | 7 |
_aTEC008000 _2bisacsh |
|
072 | 7 |
_aCOM073000 _2bisacsh |
|
082 | 0 | 4 |
_a621.382 _223 |
245 | 1 | 0 |
_aWide Area Surveillance _h[electronic resource] : _bReal-time Motion Detection Systems / _cedited by Vijayan K. Asari. |
264 | 1 |
_aBerlin, Heidelberg : _bSpringer Berlin Heidelberg : _bImprint: Springer, _c2014. |
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300 |
_aXIV, 236 p. 124 illus. _bonline resource. |
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336 |
_atext _btxt _2rdacontent |
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337 |
_acomputer _bc _2rdamedia |
||
338 |
_aonline resource _bcr _2rdacarrier |
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347 |
_atext file _bPDF _2rda |
||
490 | 1 |
_aAugmented Vision and Reality, _x2190-5916 ; _v6 |
|
505 | 0 | _aBackground Subtraction: Theory and Practice -- Moving Cast Shadows Detection Methods for Video Surveillance Applications -- Moving Object Detection and Tracking in Wide Area Motion Imagery -- Recognizing Complex Human Activities via Crowd Context -- Event Based Switched Dynamic Bayesian Networks for Autonomous Cognitive Crowd Monitoring -- Unified Face Representation for Individual Recognition in Surveillance Videos -- Person Re-identification in Wide Area Camera Networks -- Opportunities and Challenges of Terrain Aided Navigation Systems for Aerial Surveillance by Unmanned Aerial Vehicles -- Automatic Target Recognition in Multispectral and Hyperspectral Imagery Via Joint Transform Correlation -- An Overview of Distributed Tracking and Control in Camera Networks. | |
520 | _aThe book describes a system for visual surveillance using intelligent cameras. The camera uses robust techniques for detecting and tracking moving objects. The real time capture of the objects is then stored int he database. The tracking data stored in the database is analysed to study the camera view, detect and track objects, and study object behavior. These set of models provide a robust framework for coordinating the tracking of objects between overlapping and non-overlapping cameras, and recording the activity of objects detected by the system. | ||
650 | 0 | _aEngineering. | |
650 | 0 | _aArtificial intelligence. | |
650 | 0 | _aImage processing. | |
650 | 1 | 4 | _aEngineering. |
650 | 2 | 4 | _aSignal, Image and Speech Processing. |
650 | 2 | 4 | _aImage Processing and Computer Vision. |
650 | 2 | 4 | _aArtificial Intelligence (incl. Robotics). |
700 | 1 |
_aAsari, Vijayan K. _eeditor. |
|
710 | 2 | _aSpringerLink (Online service) | |
773 | 0 | _tSpringer eBooks | |
776 | 0 | 8 |
_iPrinted edition: _z9783642378409 |
830 | 0 |
_aAugmented Vision and Reality, _x2190-5916 ; _v6 |
|
856 | 4 | 0 | _uhttp://dx.doi.org/10.1007/978-3-642-37841-6 |
912 | _aZDB-2-ENG | ||
942 | _cEBK | ||
999 |
_c55026 _d55026 |