Loading [MathJax]/extensions/TeX/upgreek.js
Abnormal motion selection in crowds using bottom-up saliency | IEEE Conference Publication | IEEE Xplore

Abnormal motion selection in crowds using bottom-up saliency

Publisher: IEEE

Abstract:

This paper deals with the selection of relevant motion from multi-object movement. The proposed method is based on a multi-scale approach using features extracted from op...View more

Abstract:

This paper deals with the selection of relevant motion from multi-object movement. The proposed method is based on a multi-scale approach using features extracted from optical flow and global rarity quantification to compute bottom-up saliency maps. It shows good results from four objects to dense crowds with increasing performance. The results are convincing on synthetic videos, simple real video movements, a pedestrian database and they seem promising on very complex videos with dense crowds. This algorithm only uses motion features (direction and speed) but can be easily generalized to other dynamic or static features. Video surveillance, social signal processing and, in general, higher level scene understanding can benefit from this method.
Date of Conference: 11-14 September 2011
Date Added to IEEE Xplore: 29 December 2011
ISBN Information:

ISSN Information:

Publisher: IEEE
Conference Location: Brussels, Belgium

References

References is not available for this document.