Pixel-based colour contrast for abandoned and stolen object discrimination in video surveillance
Entity
UAM. Departamento de Tecnología Electrónica y de las ComunicacionesPublisher
The Institution of Engineering and TechnologyDate
2012-01Citation
10.1049/el.2011.3160
Electronics Letters 48.2 (2012): 86 - 87
ISSN
0013-5194 (print); 1350-911X (online)DOI
10.1049/el.2011.3160Funded by
This work has been partially supported by the Spanish Government (TEC2011-25995), by the Consejería de Educación of the Comunidad de Madrid and by The European Social Fund.Editor's Version
http://dx.doi.org/10.1049/el.2011.3160Subjects
Image colour analysis; Object detection; Video surveillance; Informática; TelecomunicacionesNote
This paper is a postprint of a paper submitted to and accepted for publication in Electronics Letters and is subject to Institution of Engineering and Technology Copyright. The copy of record is available at IET Digital LibraryRights
© The Institution of Engineering and Technology 2012Abstract
A novel approach is proposed for discriminating between abandoned or stolen previously detected stationary foreground regions in video surveillance. It is based on measuring the colour contrast of the contour of the stationary object under analysis at pixel level. Two contrasts are computed by analysing such a contour in the current and background frames. Then, both are combined for performing the discrimination. The experimental results over a heterogeneous dataset containing real scenarios demonstrate that this approach outperforms the related literature and greatly reduces the computational cost of the discrimination task, allowing real-time operation.
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Google Scholar:San Miguel Avedillo, Juan Carlos
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Caro Campos, Luis Alberto
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Martínez Sánchez, José María
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