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AVSS
2005
IEEE

Tracking motion objects in infrared videos

10 years 7 months ago
Tracking motion objects in infrared videos
We propose motion detection and object tracking method that is particularly suitable for infrared videos. Detection of moving objects in infrared videos is based on changing texture in parts of the view field. We estimate the speed of texture change by measuring the spread of texture vectors in the texture space. This method allows us to robustly detect very fast and very slow moving object. Our theoretical and experimental results show that the proposed method significantly outperforms the Stauffer-Grimson approach based on Gaussian mixture model. We observe that the proposed method does not require any postprocessing, which is a necessary step for the StaufferGrimson approach. Moreover, the object tracking is improved when based on the spatiotemporal texture blocks.
Longin Jan Latecki, Roland Miezianko, Dragoljub Po
Added 24 Jun 2010
Updated 24 Jun 2010
Type Conference
Year 2005
Where AVSS
Authors Longin Jan Latecki, Roland Miezianko, Dragoljub Pokrajac
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