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This paper is an approach for pedestrian detection and tracking with infrared imagery. The detection phase is performed by AdaBoost algorithm based on Haar-like features. AdaBoost classifier is trained with datasets generated from infrared images. The number of negative images used for training with AdaBoost algorithm is 3000. For positive training, 1000 samples are used After detecting the pedestrian...
In this paper, an approach for video fire detection is proposed. The basic idea is fire has a highly varying texture and waits at the same location for long consecutive periods. Since pixel-wise framework has high algorithmic cost, a patch-wise periodical analysis of fire colored moving pixels in terms of consecutive re-occurrence in a given duration is presented. Instead of analyzing the fire motion...
In this paper, an approach for video smoke detection is proposed. The basic idea is smoke has a highly varying chrominance/luminance texture in long periods. Since smoke has no shape, it also creates high shape changes in long periods. In this paper, two kinds of histogram are employed to observe change in luminance/chrominance texture and shape. Linearly interpolated chrominance/luminance subtraction...
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