http://iet.metastore.ingenta.com
1887

Pixel-based colour contrast for abandoned and stolen object discrimination in video surveillance

Pixel-based colour contrast for abandoned and stolen object discrimination in video surveillance

For access to this article, please select a purchase option:

Buy article PDF
£12.50
(plus tax if applicable)
Buy Knowledge Pack
10 articles for £75.00
(plus taxes if applicable)

IET members benefit from discounts to all IET publications and free access to E&T Magazine. If you are an IET member, log in to your account and the discounts will automatically be applied.

Learn more about IET membership 

Recommend Title Publication to library

You must fill out fields marked with: *

Librarian details
Name:*
Email:*
Your details
Name:*
Email:*
Department:*
Why are you recommending this title?
Select reason:
 
 
 
 
 
Electronics Letters — Recommend this title to your library

Thank you

Your recommendation has been sent to your librarian.

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.

References

    1. 1)
    2. 2)
      • Spagnolo, P., Caroppo, A., Leo, M., Martiriggiano, T., D'orazio, T.: `An abandoned/removed objects detection algorithm and its evaluation on PETS datasets', Proc. Int. Conf. on Advanced Video and Signal Based Surveillance, 2006, Sidney, Australia, p. 17–21, Vol. 1
    3. 3)
      • Ferrando, S., Gera, G., Regazzoni, C.: `Classification of unattended and stolen objects in videosurveillance system', Proc. Int. Conf. on Advanced Video and Signal Based Surveillance, 2006,, Sidney, Australia, p. 21–27, Vol. 1
    4. 4)
      • Wen, J., Gong, H., Zhang, X., Hu, W.: `Generative model for abandoned object detection', Proc. Int. Conf. on Image Processing, 2009,, Cairo, Egypt, p. 853–856, Vol. 1
    5. 5)
      • Caro, L., Sanmiguel, J.C., Martinez, J.M.: `Discrimination of abandoned and stolen object based on active contours', Proc. Int. Conf. on Advanced Video and Signal Based Surveillance, 2011,, Klagenfurt, Austria, p. 101–106, Vol. 1
    6. 6)
http://iet.metastore.ingenta.com/content/journals/10.1049/el.2011.3160
Loading

Related content

content/journals/10.1049/el.2011.3160
pub_keyword,iet_inspecKeyword,pub_concept
6
6
Loading
This is a required field
Please enter a valid email address