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• W2132166049 abstract "This paper presents a novel approach in pedestrian detection in static images. The state-of-art feature named histograms of oriented gradients (HOG) is adopted as the basic feature which we modify and create a new feature using boosting algorithm. The detection is achieved by training a linear SVM with the boosted HOG feature. We experimentally demonstrate that our solution achieve comparable performance as the HOG algorithm on the INRIA pedestrian dataset yet considerably reduce storage requirement and simplify the computation in terms of elementary operations." @default.
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• W2132166049 date "2008-10-01" @default.
• W2132166049 modified "2023-09-23" @default.
• W2132166049 title "Pedestrian Detection Using Boosted HOG Features" @default.
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• W2132166049 doi "https://doi.org/10.1109/itsc.2008.4732553" @default.
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