Active-GNG: model acquisition and tracking in cluttered backgrounds
VNBA '08 Proceedings of the 1st ACM workshop on Vision networks for behavior analysis
Surveillance and human-computer interaction applications of self-growing models
Applied Soft Computing
A hybrid color distance for image segmentation
HAIS'11 Proceedings of the 6th international conference on Hybrid artificial intelligent systems - Volume Part II
A New Scheme for Robust Gradient Vector Estimation in Color Images
IEEE Transactions on Image Processing
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We propose a hybrid gradient which provides a good behavior on regions with different illumination. It avoids the shadow effects focusing on the detection of regions of the scene with different chromatic properties. It works with image intensity and chromaticity according with its intensity level emulating the Human Vision System (HVS). This gradient is grounded in the Hyperspherical coordinates, therefore it has a general propose and can be applied on RGB images, multi-spectral images or hyperspectral images.