Robust Motion Detection in Real-Life Scenarios

Name: Robust Motion Detection in Real-Life Scenarios
SKU: 20221624
Price: 148.00 NZD
Availability: InStock

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Paperback / softback

Series:

Springerbriefs in Computer Science

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Description

This work proposes a complete sensor-independent visual system that provides robust target motion detection. First, the way sensors obtain images, in terms of resolution distribution and pixel neighbourhood, is studied. This allows a spatial analysis of motion to be carried out. Then, a novel background maintenance approach for robust target motion detection is implemented. Two different situations are considered: a fixed camera observing a constant background where objects are moving; and a still camera observing objects in movement within a dynamic background. This distinction lies on developing a surveillance mechanism without the constraint of observing a scene free of foreground elements for several seconds when a reliable initial background model is obtained, as that situation cannot be guaranteed when a robotic system works in an unknown environment. Other problems are also addressed to successfully deal with changes in illumination, and the distinction between foreground and background elements.

Release date NZ

July 11th, 2012

Author

Audience

Professional & Vocational

Illustrations

61 Illustrations, color; 9 Illustrations, black and white; XII, 108 p. 70 illus., 61 illus. in color.

Pages

108

Series

Springerbriefs in Computer Science

Dimensions

155x235x8

ISBN-13

9781447142157

Product ID

20221624

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