Publication
Moving cast shadows detection methods for video surveillance applications
Book Chapter (2014)
Book Title
Wide Area Surveillance: Real-time Motion Detection Systems
Publisher
Springer
Pages
23-47
Volume
6
Serie
Augmented Vision and Reality
Doc link
http://dx.doi.org/10.1007/8612_2012_3
File
Authors
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Amato, Ariel
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Huerta Casado, Iván
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Mozerov, Mikhail
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Roca i Marva, Francesc Xavier
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Gonzàlez, Jordi
Abstract
Moving cast shadows are a major concern in today’s performance from broad range of many vision-based surveillance applications because they highly difficult the object classification task. Several shadow detection methods have been reported in the literature during the last years. They are mainly divided into two domains. One usually works with static images, whereas the second one uses image sequences, namely video content. In spite of the fact that both cases can be analogously analyzed, there is a difference in the application field. The first case, shadow detection methods can be exploited in order to obtain additional geometric and semantic cues about shape and position of its casting object (‘shape from shadows’) as well as the localization of the light source. While in the second one, the main purpose is usually change detection, scene matching or surveillance (usually in a background subtraction context). Shadows can in fact modify in a negative way the shape and color of the target object and therefore affect the performance of scene analysis and interpretation in many applications. This chapter wills mainly reviews shadow detection methods as well as their taxonomies related with the second case, thus aiming at those shadows which are associated with moving objects (moving shadows).
Categories
computer vision.
Author keywords
shadows, chromatic shadows, achromatic shadows, survey
Scientific reference
A. Amato, I. Huerta, M. Mozerov, F. Xavier Roca and J. Gonzàlez. Moving cast shadows detection methods for video surveillance applications. In Wide Area Surveillance: Real-time Motion Detection Systems, 23-47. Springer, 2014.
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