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Abstract
An algorithm for automatic detection of unattended objects in video camera images is presented. First, background subtraction is performed, using an approach based on the codebook method. Results of the detection are then processed by assigning the background pixels to time slots, based on the codeword age. Using this data, moving objects detected during a chosen period may be extracted from the background model. The proposed approach improves detection in difficult situations, such as obscured objects. After further processing by object classification and tracking modules, the data on detected moving objects may be used by a high-level event detection algorithm for automatic detection of unattended objects. The proposed algorithm may be used in automatic surveillance system, e.g. for detection of left luggage at the airport.
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- Category:
- Conference activity
- Type:
- publikacja w wydawnictwie zbiorowym recenzowanym (także w materiałach konferencyjnych)
- Title of issue:
- WIAMIS 2011: 12th International Workshop on Image Analysis for Multimedia Interactive Services, Delft, Holandia, 13-15.04.2011. - [CD]
- Language:
- English
- Publication year:
- 2011
- Bibliographic description:
- Szwoch G., Dalka P.: Layered background modeling for automatic detection of unattended objects in camera images// WIAMIS 2011: 12th International Workshop on Image Analysis for Multimedia Interactive Services, Delft, Holandia, 13-15.04.2011. - [CD]/ Delft: Technical University Delft, 2011,
- Verified by:
- Gdańsk University of Technology
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