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Robust Motion Detection in Real-Life Scenarios (Record no. 21138)

000 -LEADER
fixed length control field 03492nam a22004335i 4500
003 - CONTROL NUMBER IDENTIFIER
control field OSt
005 - DATE AND TIME OF LATEST TRANSACTION
control field 20140310151111.0
007 - PHYSICAL DESCRIPTION FIXED FIELD--GENERAL INFORMATION
fixed length control field cr nn 008mamaa
008 - FIXED-LENGTH DATA ELEMENTS--GENERAL INFORMATION
fixed length control field 120710s2012 xxk| s |||| 0|eng d
020 ## - INTERNATIONAL STANDARD BOOK NUMBER
International Standard Book Number 9781447142164
978-1-4471-4216-4
050 #4 - LIBRARY OF CONGRESS CALL NUMBER
Classification number TA1637-1638
Classification number TA1637-1638
082 04 - DEWEY DECIMAL CLASSIFICATION NUMBER
Classification number 006.6
Edition number 23
Classification number 006.37
Edition number 23
264 #1 -
-- London :
-- Springer London :
-- Imprint: Springer,
-- 2012.
912 ## -
-- ZDB-2-SCS
100 1# - MAIN ENTRY--PERSONAL NAME
Personal name Martínez-Martín, Ester.
Relator term author.
245 10 - IMMEDIATE SOURCE OF ACQUISITION NOTE
Title Robust Motion Detection in Real-Life Scenarios
Medium [electronic resource] /
Statement of responsibility, etc by Ester Martínez-Martín, Ángel P. del Pobil.
300 ## - PHYSICAL DESCRIPTION
Extent XII, 108 p. 70 illus., 61 illus. in color.
Other physical details online resource.
440 1# - SERIES STATEMENT/ADDED ENTRY--TITLE
Title SpringerBriefs in Computer Science,
International Standard Serial Number 2191-5768
505 0# - FORMATTED CONTENTS NOTE
Formatted contents note Introduction -- Motion Detection in Static Backgrounds -- Motion Detection in General Backgrounds -- Applications -- Computer Vision Terms.
520 ## - SUMMARY, ETC.
Summary, etc Our knowledge of the surrounding world is obtained by our senses, of which vision is the most important for the information it can provide. In artificial systems, the field of Computer Vision aims to identify physical objects and scenes from captured images, to make useful decisions. This involves the processing and analysis of images, video data, and multi-dimensional data like medical scans. In this context, motion provides a stimulus for detecting objects in movement within the observed scene. Moreover, motion allows other characteristics to be obtained, such as object shape, speed or trajectory, which are meaningful for detection and recognition. However, the motion observable in a visual input can be due to different factors: movement of the imaged objects, movement of the observer, motion of the light sources, or a combination of these. This work focuses on motion detection from images captured by perspective and fisheye still cameras, proposing a complete sensor-independent visual system that provides robust target motion detection. First, the way sensors obtain images is studied, allowing 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 against a dynamic background. This permits the development of a surveillance mechanism that removes the constraint of observing a scene free of foreground elements to obtain a reliable background model, since this situation cannot be guaranteed when operating in an unknown environment. Other problems are also addressed for the successful handling of changes in illumination, the distinction between foreground and background elements, and non-uniform vacillating backgrounds.
650 #0 - SUBJECT ADDED ENTRY--TOPICAL TERM
Topical term or geographic name as entry element Computer science.
Topical term or geographic name as entry element Computer vision.
Topical term or geographic name as entry element Computer Science.
Topical term or geographic name as entry element Image Processing and Computer Vision.
700 1# - ADDED ENTRY--PERSONAL NAME
Personal name Pobil, Ángel P. del.
Relator term author.
710 2# - ADDED ENTRY--CORPORATE NAME
Corporate name or jurisdiction name as entry element SpringerLink (Online service)
773 0# - HOST ITEM ENTRY
Title Springer eBooks
776 08 - ADDITIONAL PHYSICAL FORM ENTRY
Display text Printed edition:
International Standard Book Number 9781447142157
856 40 - ELECTRONIC LOCATION AND ACCESS
Uniform Resource Identifier http://dx.doi.org/10.1007/978-1-4471-4216-4
942 ## - ADDED ENTRY ELEMENTS (KOHA)
Source of classification or shelving scheme
Item type E-Book
Copies
Price effective from Permanent location Date last seen Not for loan Date acquired Source of classification or shelving scheme Koha item type Damaged status Lost status Withdrawn status Current location Full call number
2014-04-08AUM Main Library2014-04-08 2014-04-08 E-Book   AUM Main Library006.6

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