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This paper presents a human detection approach which can process images rapidly and detect the objects accurately. The features used in our system are the cascade of the HOG (Histograms of Oriented Gradients) and LBP (Local Binary Pattern). In order to achieve high recall at each stage of the cascade, we modify the mi-SVM (Support Vector Machine for multiple instance learning) to train the HOG and...
This paper presents a head-shoulder detection approach using cascade SVM and histograms of oriented gradients (HOG). The HOG features which are extracted from variable-size blocks can capture salient features of head-shoulder automatically. A two stage cascade using SVM approach is designed to be the classifier. During detection, the majority of negative windows are rejected at the first stage, leaving...
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