Technology of Graphic & Image
|
3187-3191

Moving object detection and tracking based on composite dynamic model and evidential fusion framework

Cheng Wei1
Wu Haibin2
Zheng Hongqing1
1. School of Electronic & Electrical Engineering, Minnan Polytechnic Institute, Shishi Fujian 362700, China
2. Institute of Machinery & Automation, Fuzhou University, Fuzhou 350116, China

Abstract

In order to overcome the disadvantage of low precision of the accurate detection and tracking of moving objects in existing methods, this paper proposed a novel description and perception method based on multiple sensor detection and classification: the composite model containing dynamic property and classification description was established, based on this model, a perception and fusion method of information based on evidential framework was devised to realize detection and tracking of moving object by integrating dynamic model and uncertain feature. To validate the effectiveness of the proposed method, some experiments on a vehicle demonstrator with radar, lidar, and camera were carried out, the detecting and tracking of three objects including pedestrian, truck, and car under different driving scenarios was tested. The results show that the proposed method possesses high precision.

Foundation Support

国家自然科学基金资助项目(51175084)
福建省自然科学基金资助项目(2015J01186)
福建省中青年教师教育科研项目(JA14346)
泉州市科技项目(2014Z139)

Publish Information

DOI: 10.19734/j.issn.1001-3695.2018.04.0281
Publish at: Application Research of Computers Printed Article, Vol. 36, 2019 No. 10
Section: Technology of Graphic & Image
Pages: 3187-3191
Serial Number: 1001-3695(2019)10-069-3187-05

Publish History

[2019-10-05] Printed Article

Cite This Article

程蔚, 吴海彬, 郑洪庆. 基于复合动态模型和证据融合架构的移动物体检测与跟踪方法 [J]. 计算机应用研究, 2019, 36 (10): 3187-3191. (Cheng Wei, Wu Haibin, Zheng Hongqing. Moving object detection and tracking based on composite dynamic model and evidential fusion framework [J]. Application Research of Computers, 2019, 36 (10): 3187-3191. )

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.


Indexed & Evaluation

  • The Second National Periodical Award 100 Key Journals
  • Double Effect Journal of China Journal Formation
  • the Core Journal of China (Peking University 2023 Edition)
  • the Core Journal for Science
  • Chinese Science Citation Database (CSCD) Source Journals
  • RCCSE Chinese Core Academic Journals
  • Journal of China Computer Federation
  • 2020-2022 The World Journal Clout Index (WJCI) Report of Scientific and Technological Periodicals
  • Full-text Source Journal of China Science and Technology Periodicals Database
  • Source Journal of China Academic Journals Comprehensive Evaluation Database
  • Source Journals of China Academic Journals (CD-ROM Version), China Journal Network
  • 2017-2019 China Outstanding Academic Journals with International Influence (Natural Science and Engineering Technology)
  • Source Journal of Top Academic Papers (F5000) Program of China's Excellent Science and Technology Journals
  • Source Journal of China Engineering Technology Electronic Information Network and Electronic Technology Literature Database
  • Source Journal of British Science Digest (INSPEC)
  • Japan Science and Technology Agency (JST) Source Journal
  • Russian Journal of Abstracts (AJ, VINITI) Source Journals
  • Full-text Journal of EBSCO, USA
  • Cambridge Scientific Abstracts (Natural Sciences) (CSA(NS)) core journals
  • Poland Copernicus Index (IC)
  • Ulrichsweb (USA)