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- W2780165746 abstract "Pedestrian detection is a challenging work in advanced driver-assisted systems (ADAS) for autonomous vehicles. Among many feature extraction algorithms, histograms of oriented gradients (HOG) has been widely used for pedestrian detection. However, the original HOG involves complicated arithmetic operations and requires large buffers to store the extracted features. In this paper, we propose several simplifications for operations in HOG, leading to significant reduction in hardware cost." @default.
- W2780165746 created "2018-01-05" @default.
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- W2780165746 date "2017-10-01" @default.
- W2780165746 modified "2023-09-24" @default.
- W2780165746 title "Hardware efficient implementation of histograms of oriented gradients for pedestrian detection" @default.
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- W2780165746 doi "https://doi.org/10.1109/gcce.2017.8229308" @default.
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