Fused Deep Neural Networks for Efficient Pedestrian Detection

arXiv: Computer Vision and Pattern Recognition, Volume abs/1805.08688, 2018.

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Abstract:

In this paper, we present an efficient pedestrian detection system, designed by fusion of multiple deep neural network (DNN) systems. Pedestrian candidates are first generated by a single shot convolutional multi-box detector at different locations with various scales and aspect ratios. The candidate generator is designed to provide the m...More

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