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Moving cast shadows detection methods for video surveillance applications
Amato, Ariel; Huerta Casado, Iván; Mozerov, Mikhail; Roca Marva, Francesc Xavier; González Sabaté, Jordi
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).
Peer Reviewed
Àrees temàtiques de la UPC::Informàtica::Robòtica
Àrees temàtiques de la UPC::Enginyeria de la telecomunicació::Processament del senyal::Processament de la imatge i del senyal vídeo
Video surveillance
computer vision Author keywords: shadows
chromatic shadows
achromatic shadows
survey
Vídeo vigilància
info:eu-repo/semantics/publishedVersion
info:eu-repo/semantics/bookPart
Springer
         

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