Abstract
Performance of the moving objects detection algorithm on infrared videos is discussed. The algorithm consists of two phases: the noise suppression filter based on spatiotemporal blocks including dimensionality reduction technique for a compact vector representation of each block and the illumination changes resistant moving object detection algorithm that tracks the moving objects. The proposed method is evaluated on monochrome and multispectral IR videos.
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