Research on a Fast Human-Detection Algorithm for Unmanned Surveillance Area in Bulk Ports
Joint Authors
Mi, Chao
He, Xin
Liu, Haiwei
Huang, Youfang
Mi, Weijian
Source
Mathematical Problems in Engineering
Issue
Vol. 2014, Issue 2014 (31 Dec. 2014), pp.1-17, 17 p.
Publisher
Hindawi Publishing Corporation
Publication Date
2014-11-18
Country of Publication
Egypt
No. of Pages
17
Main Subjects
Abstract EN
With the development of port automation, most operational fields utilizing heavy equipment have gradually become unmanned.
It is therefore imperative to monitor these fields in an effective and real-time manner.
In this paper, a fast human-detection algorithm is proposed based on image processing.
To speed up the detection process, the optimized histograms of oriented gradients (HOG) algorithm that can avoid the large number of double calculations of the original HOG and ignore insignificant features is used to describe the contour of the human body in real time.
Based on the HOG features, using a training sample set consisting of scene images of a bulk port, a support vector machine (SVM) classifier combined with the AdaBoost classifier is trained to detect human.
Finally, the results of the human detection experiments on Tianjin Port show that the accuracy of the proposed optimized algorithm has roughly the same accuracy as a traditional algorithm, while the proposed algorithm only takes 1/7 the amount of time.
The accuracy and computing time of the proposed fast human-detection algorithm were verified to meet the security requirements of unmanned port areas.
American Psychological Association (APA)
Mi, Chao& He, Xin& Liu, Haiwei& Huang, Youfang& Mi, Weijian. 2014. Research on a Fast Human-Detection Algorithm for Unmanned Surveillance Area in Bulk Ports. Mathematical Problems in Engineering،Vol. 2014, no. 2014, pp.1-17.
https://search.emarefa.net/detail/BIM-1044215
Modern Language Association (MLA)
Mi, Chao…[et al.]. Research on a Fast Human-Detection Algorithm for Unmanned Surveillance Area in Bulk Ports. Mathematical Problems in Engineering No. 2014 (2014), pp.1-17.
https://search.emarefa.net/detail/BIM-1044215
American Medical Association (AMA)
Mi, Chao& He, Xin& Liu, Haiwei& Huang, Youfang& Mi, Weijian. Research on a Fast Human-Detection Algorithm for Unmanned Surveillance Area in Bulk Ports. Mathematical Problems in Engineering. 2014. Vol. 2014, no. 2014, pp.1-17.
https://search.emarefa.net/detail/BIM-1044215
Data Type
Journal Articles
Language
English
Notes
Includes bibliographical references
Record ID
BIM-1044215