A novel video detection design based on modified adaboost algorithm and HSV model

Xiao Luo, Huatao Zhao, Harutoshi Ogai, Chen Zhu

Research output: Chapter in Book/Report/Conference proceedingConference contribution

1 Citation (Scopus)

Abstract

In modern traffic systems, accurate video detection is a key challenge for traffic management. Aiming at the problem of public bus detection, this paper proposes a video detection method to well recognize the buses. Firstly, we employ the foreground detection method to find the moving vehicles. And then a training classifier which consists of the improved Adaboost algorithm and Haar-like features is proposed to filter undesired vehicles. Secondly, we use the Canny operator to locate bus characteristics, and further detect the bus with the modified HSV model. This design is tested on the Visual Stadio and OpenCV platform in which load the urban transport data as the samples. The test results show that our detection method has better robustness than both three-frame differential method and hybrid Gaussian method, and the accuracy of detection on the window positioning is more than 93 percent.

Original languageEnglish
Title of host publicationProceedings of 2017 IEEE 2nd Advanced Information Technology, Electronic and Automation Control Conference, IAEAC 2017
PublisherInstitute of Electrical and Electronics Engineers Inc.
Pages2328-2331
Number of pages4
ISBN (Electronic)9781467389778
DOIs
Publication statusPublished - 2017 Sep 29
Event2nd IEEE Advanced Information Technology, Electronic and Automation Control Conference, IAEAC 2017 - Chongqing, China
Duration: 2017 Mar 252017 Mar 26

Other

Other2nd IEEE Advanced Information Technology, Electronic and Automation Control Conference, IAEAC 2017
CountryChina
CityChongqing
Period17/3/2517/3/26

Fingerprint

Adaptive boosting
AdaBoost
Model
Traffic Management
Classifiers
Percent
Positioning
Design
Classifier
Traffic
Filter
Robustness
Bus
Operator

Keywords

  • Adaboost algorithm
  • HSV model
  • Intelligent traffic
  • Video detection

ASJC Scopus subject areas

  • Computer Networks and Communications
  • Computer Vision and Pattern Recognition
  • Hardware and Architecture
  • Information Systems
  • Electrical and Electronic Engineering
  • Control and Optimization
  • Information Systems and Management

Cite this

Luo, X., Zhao, H., Ogai, H., & Zhu, C. (2017). A novel video detection design based on modified adaboost algorithm and HSV model. In Proceedings of 2017 IEEE 2nd Advanced Information Technology, Electronic and Automation Control Conference, IAEAC 2017 (pp. 2328-2331). [8054437] Institute of Electrical and Electronics Engineers Inc.. https://doi.org/10.1109/IAEAC.2017.8054437

A novel video detection design based on modified adaboost algorithm and HSV model. / Luo, Xiao; Zhao, Huatao; Ogai, Harutoshi; Zhu, Chen.

Proceedings of 2017 IEEE 2nd Advanced Information Technology, Electronic and Automation Control Conference, IAEAC 2017. Institute of Electrical and Electronics Engineers Inc., 2017. p. 2328-2331 8054437.

Research output: Chapter in Book/Report/Conference proceedingConference contribution

Luo, X, Zhao, H, Ogai, H & Zhu, C 2017, A novel video detection design based on modified adaboost algorithm and HSV model. in Proceedings of 2017 IEEE 2nd Advanced Information Technology, Electronic and Automation Control Conference, IAEAC 2017., 8054437, Institute of Electrical and Electronics Engineers Inc., pp. 2328-2331, 2nd IEEE Advanced Information Technology, Electronic and Automation Control Conference, IAEAC 2017, Chongqing, China, 17/3/25. https://doi.org/10.1109/IAEAC.2017.8054437
Luo X, Zhao H, Ogai H, Zhu C. A novel video detection design based on modified adaboost algorithm and HSV model. In Proceedings of 2017 IEEE 2nd Advanced Information Technology, Electronic and Automation Control Conference, IAEAC 2017. Institute of Electrical and Electronics Engineers Inc. 2017. p. 2328-2331. 8054437 https://doi.org/10.1109/IAEAC.2017.8054437
Luo, Xiao ; Zhao, Huatao ; Ogai, Harutoshi ; Zhu, Chen. / A novel video detection design based on modified adaboost algorithm and HSV model. Proceedings of 2017 IEEE 2nd Advanced Information Technology, Electronic and Automation Control Conference, IAEAC 2017. Institute of Electrical and Electronics Engineers Inc., 2017. pp. 2328-2331
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