Video Surveillance for Sensor Platforms [electronic resource] : Algorithms and Architectures / by Mayssaa Al Najjar, Milad Ghantous, Magdy Bayoumi.

By:

Al Najjar, Mayssaa [author.]

Contributor(s):

Series: Lecture Notes in Electrical Engineering ; 114Publisher: New York, NY : Springer New York : Imprint: Springer, 2014Description: XV, 202 p. 89 illus., 47 illus. in color. online resourceContent type:

text

Media type:

computer

Carrier type:

online resource

ISBN:

9781461418573

Subject(s):

Genre/Form:

Electronic books.

Additional physical formats: Printed edition:: No titleDDC classification:

621.3815 23

LOC classification:

TK7888.4

Online resources:

Click here to access online

Contents:

Introduction -- Visual Sensor Nodes -- Image Registration -- Image Fusion -- Object Detection -- Object Tracking -- Hysteresis Thresholding -- Hardware Architecture Assist for Critical Components -- Conclusion.

In: Springer eBooksSummary: This book introduces resource aware image decomposition, registration, fusion, object detection and tracking algorithms along with their applications in security, monitoring and integration in 3rd Generation Surveillance Systems. All algorithms are evaluated through experimental and simulation results and a parallel and pipelined efficient architecture for implementing the algorithms is described. • Describes a new type of image processing algorithms that are suited for low power and low memory platforms such as wireless sensor networks or mobile devices; • Uses simulation and experimental results to evaluate algorithms presented; • Includes hardware architecture for critical components in the algorithms described.

Item type:

eBooks

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This book introduces resource aware image decomposition, registration, fusion, object detection and tracking algorithms along with their applications in security, monitoring and integration in 3rd Generation Surveillance Systems. All algorithms are evaluated through experimental and simulation results and a parallel and pipelined efficient architecture for implementing the algorithms is described. • Describes a new type of image processing algorithms that are suited for low power and low memory platforms such as wireless sensor networks or mobile devices; • Uses simulation and experimental results to evaluate algorithms presented; • Includes hardware architecture for critical components in the algorithms described.