A Pedestrian Detection System Accelerated by Kernelized Proposals

IEEE Transactions on Intelligent Transportation Systems, pp. 1216-1228, 2020.

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Abstract:

When pedestrian detection (PD) is implemented on a central processing unit (CPU), performing real-time processing using a classical sliding window is difficult. Therefore, an efficient proposal generation method is required. A new generation method, named additive kernel binarized normed gradient (AKBING), is proposed herein, and this met...More

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