HOG-assisted deep feature learning for pedestrian gender recognition-Reference-Cited by-同舟云学术

HOG-assisted deep feature learning for pedestrian gender recognition

Published:2018-03 Issue:4 Volume:355 Page:1991-2008
ISSN:0016-0032
Container-title:Journal of the Franklin Institute
language:en
Short-container-title:Journal of the Franklin Institute

Author:

Cai Lei,Zhu Jianqing,Zeng Huanqiang,Chen Jing,Cai Canhui,Ma Kai-Kuang

Funder

National Natural Science Foundation of China

Natural Science Foundation of Fujian Province

Publisher

Elsevier BV

Subject

Applied Mathematics,Computer Networks and Communications,Signal Processing,Control and Systems Engineering

Reference48 articles.

1. Unattended object identification for intelligent surveillance systems using sequence of dual background difference;Filonenko;IEEE Trans. Indust. Inf.,2016

2. Cascade object detection with deformable part models;Felzenszwalb,2010

3. Deformable part models are convolutional neural networks;Girshick,2015

4. Visual object detection with deformable part models;Felzenszwalb;Commun. ACM,2013

5. Fast R-CNN;Girshick,2015

Cited by 35 articles. 订阅此论文施引文献订阅此论文施引文献，注册后可以免费订阅5篇论文的施引文献，订阅后可以查看论文全部施引文献

1. ViT-PGC: vision transformer for pedestrian gender classification on small-size dataset;Pattern Analysis and Applications;2023-09-26

2. Forward-looking omnidirectional infrared pedestrian detection for driver assistance;Multimedia Tools and Applications;2023-04-29

3. A pure number to assess “congestion” in pedestrian crowds;Transportation Research Part C: Emerging Technologies;2023-03

4. Pedestrian gender classification on imbalanced and small sample datasets using deep and traditional features;Neural Computing and Applications;2023-02-13

5. Identification of Lung Tumors in Nude Mice Based on the LIBS With Histogram of Orientation Gradients and Support Vector Machine;IEEE Access;2023