Sahere Rahimi

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Human tracking is an interesting topic in computer vision domain. In this paper, a human detection and tracking algorithm based on new features combination in one camera system is proposed. In detection part, first, mixture of Gaussian background subtraction method is used to find moving regions, then histogram of oriented gradient (HOG) feature of these(More)
Human tracking is one of the most important topics in surveillance systems. Increment of system's ability to detect and track humans in both indoor and outdoor crowded environments leads to a safer environment. In this paper color and shape information are fused based on particle filter framework to track humans. Histogram of oriented gradient (HOG) is a(More)
In this paper, a kernelized Grassmannian manifold learning method base on new definitions of geodesic distance and manifold graph is proposed to increase inter-class separation and intra-class compactness in human action recognition. Chordal infinite-norm is used to calculate the geodesic distance between subspaces which leads to more inter-class(More)
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