Abstract
This paper proposes a simple scene segmentation method based on incremental principal component analysis (IPCA). Instead of segmenting moving objects in a conventional frame by frame manner, the newly proposed method segments a scene into unchanged background zone (UBZ) and moving object zone (MOZ). As a result, moving objects normally appear in MOZs rather than UBZs, and therefore, detection and behaviours analysis can be performed in MOZs. In visual communication, UBZs do not need to be encoded and transmitted. Moreover, if an object is in UBZs, it can be linked to abnormal events. Experimental results demonstrate the contribution of the proposed method.
Original language | English |
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Pages (from-to) | 2450-2454 |
Number of pages | 5 |
Journal | Neurocomputing |
Volume | 72 |
Issue number | 10-12 |
Early online date | 3 Dec 2008 |
DOIs | |
Publication status | Published - Jun 2009 |
Keywords
- incremental principal component analysis
- scene segmentation
- video surveillance
- visual surveillance