Technology of Graphic & Image
|
2219-2222

Rapid pedestrian detection based on generic object generation

Liu Qian1,2
Li Ce1
Yang Feng1
Liu Libo2
1. School of Mechanical Electronic & Information Engineering, China University of Mining & Technology, Beijing 100083, China
2. College of Information Engineering, Ningxia University, Yinchuan 750001, China

Abstract

Detection of pedestrians on the image using a sliding window mode results in a huge number of invalid windows and inefficiency. To circumvent these problems for pedestrian detection, this paper proposed an approach, based on generic object generation, for rapid detection of pedestrian. Firstly, the approach generated the generic object proposals by the improved binarized normed gradients, and then calculated the character of proposals based on this NDOG feature descriptor. Experimental results over the INRIA and Caltech-USA pedestrian datasets show that this approach reduces the number of proposals effectively, and improves the efficiency and the detection accuracy significantly along with a linear SVM classifier.

Foundation Support

贵州省科技计划资助项目(黔科合GZ字[2015]3020)
国家自然科学基金资助项目(61751215)

Publish Information

DOI: 10.19734/j.issn.1001-3695.2018.01.0115
Publish at: Application Research of Computers Printed Article, Vol. 36, 2019 No. 7
Section: Technology of Graphic & Image
Pages: 2219-2222
Serial Number: 1001-3695(2019)07-063-2219-04

Publish History

[2019-07-05] Printed Article

Cite This Article

刘倩, 李策, 杨峰, 等. 基于似物目标的快速行人检测算法 [J]. 计算机应用研究, 2019, 36 (7): 2219-2222. (Liu Qian, Li Ce, Yang Feng, et al. Rapid pedestrian detection based on generic object generation [J]. Application Research of Computers, 2019, 36 (7): 2219-2222. )

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  • Application Research of Computers Monthly Journal
  • Journal ID ISSN 1001-3695
    CN  51-1196/TP

Application Research of Computers, founded in 1984, is an academic journal of computing technology sponsored by Sichuan Institute of Computer Sciences under the Science and Technology Department of Sichuan Province.

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