Robust Change-Detection by Normalised Gradient-Correlation

A novel algorithm for robustly segmenting changes between different images of a scene is presented. This computationally efficient algorithm is based on a non-linear comparison of gradient structure in overlapping imageregions and offers intrinsic invariance to changing illumination, without recourse to background-model adaptation. High accuracy is demonstrated on test video data with and without illumination changes. The technique is applicable to motion-segmentation as well as measuring longer-term object-changes.

• Type: Conference
• Year: 2007
• Where: CVPR
• Authors: Robert O'Callaghan, Tetsuji Haga
• Keywords: Computer Vision, CVPR 2007, Efficient Algorithm, Illumination Changes, Intrinsic Invariance, Test Video Data