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Technology of Graphic & Image
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3481-3485

Vehicle detection using cascaded feature based on improved PBAS algorithm

Sun Yuan
Hou Jin
School of Information Science & Technology, Southwest Jiaotong University, Chengdu 611756, China

Abstract

With the increasing number of the vehicles, the intelligent transportation system requires accurately and quickly detect vehicles in videos under complex conditions. Hence, this paper proposed an efficient vehicles detection scheme based on the existing works. Firstly, it selected a pixel-based adaptive segmentation algorithm to linearly optimize its background model, which could reduce the compute complexity and extract the foreground spot as defined range approach. Then, it used threshold determination to determine the ROI. In the ROI, it selected the Haar-like features and HOG features and used them as input of the optimized AdaBoost+SVM cascade classifier for vehicles detection. The substantial experiments demonstrate the superiority of the linearized pixel-based adaptive segmentation, the rapidity of the AdaBoost+SVM cascaded classifier, and the real-time processing ability and the illumination robustness of the overall vehicle detection algorithm in detecting vehicles.

Foundation Support

浙江大学CAD&CG国家重点实验室开放课题(A1823)
成都市科技资助项目(科技惠民技术研发项目)(2015-HM01-00050-SF)

Publish Information

DOI: 10.19734/j.issn.1001-3695.2018.05.0340
Publish at: Application Research of Computers Printed Article, Vol. 36, 2019 No. 11
Section: Technology of Graphic & Image
Pages: 3481-3485
Serial Number: 1001-3695(2019)11-064-3481-05

Publish History

[2019-11-05] Printed Article

Cite This Article

孙渊, 侯进. 基于改进PBAS算法的级联特征行车检测 [J]. 计算机应用研究, 2019, 36 (11): 3481-3485. (Sun Yuan, Hou Jin. Vehicle detection using cascaded feature based on improved PBAS algorithm [J]. Application Research of Computers, 2019, 36 (11): 3481-3485. )

About the Journal

  • 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.

Aiming at the urgently needed cutting-edge technology in this discipline, Application Research of Computers reflects the mainstream technology, hot technology and the latest development trend of computer application research at home and abroad in a timely manner. The main contents of the journal include high-level academic papers in this discipline, the latest scientific research results and major application results. The contents of the columns involve new theories of computer discipline, basic computer theory, algorithm theory research, algorithm design and analysis, blockchain technology, system software and software engineering technology, pattern recognition and artificial intelligence, architecture, advanced computing, parallel processing, database technology, computer network and communication technology, information security technology, computer image graphics and its latest hot application technology.

Application Research of Computers has many high-level readers and authors, and its readers are mainly senior and middle-level researchers and engineers engaged in the field of computer science, as well as teachers and students majoring in computer science and related majors in colleges and universities. Over the years, the total citation frequency and Web download rate of Application Research of Computers have been ranked among the top of similar academic journals in this discipline, and the academic papers published are highly popular among the readers for their novelty, academics, foresight, orientation and practicality.


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