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Robust Motion Detection in Real-Life Scenarios
Martinez-Martin, Ester; Del Pobil, Angel P.
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Description for Robust Motion Detection in Real-Life Scenarios
Paperback. Proposes a sensor-independent visual system that provides robust target motion detection. Series: SpringerBriefs in Computer Science. Num Pages: 120 pages, 9 black & white illustrations, 61 colour illustrations, biography. BIC Classification: UYQ; UYT. Category: (P) Professional & Vocational. Dimension: 235 x 155 x 7. Weight in Grams: 195.
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 ... Read more
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 ... Read more
Product Details
Format
Paperback
Publication date
2012
Publisher
Springer London Ltd United Kingdom
Number of pages
120
Condition
New
Series
SpringerBriefs in Computer Science
Number of Pages
108
Place of Publication
England, United Kingdom
ISBN
9781447142157
SKU
V9781447142157
Shipping Time
Usually ships in 15 to 20 working days
Ref
99-15
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