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2007

Illumination-robust Change Detection Using Texture Based Features

9 years 1 months ago
Illumination-robust Change Detection Using Texture Based Features
We propose a change detection method which is robust against illumination change and requires little background learning as a result of using texture based features. We propose Peripheral TErnary Sign Correlation (PTESC) which is robust against illumination changes by using −1/0/1 ternary code for encoding the intensity difference between pixels in texture, and combine it with Bi-polar Radial Reach Correlation (BPRRC) which yields high detectability in a region with little texture. We show that our method detects changes with fewer false positives and false negatives under illumination changes compared with former methods.
Kentaro Yokoi
Added 30 Oct 2010
Updated 30 Oct 2010
Type Conference
Year 2007
Where MVA
Authors Kentaro Yokoi
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