Optimized Pedestrian Detection Algorithm for Norm-DP Model

Optimized Pedestrian Detection Algorithm for Norm-DP Model

The traditional deep pyramid model attracts much attention as an effective pedestrian detection algorithm. It combines deformable part model and convolutional neural network model. However, the algorithm adopted in the feature extraction section has different pixel area sizes, so the models cannot b...

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Bibliographic Details
Main Author: CHAI Enhui, MA Zhanfei, ZHI Min
Format: Article
Language:zho
Published: Journal of Computer Engineering and Applications Beijing Co., Ltd., Science Press 2021-03-01
Series:Jisuanji kexue yu tansuo
Subjects:
convolutional neural network (cnn)
deformable part model algorithm
normalization deep pyramid (norm-dp)
soft-non-maximum suppression (soft-nms)
bounding box regression (bbr)
Online Access:http://fcst.ceaj.org/CN/abstract/abstract2602.shtml

Internet

http://fcst.ceaj.org/CN/abstract/abstract2602.shtml

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