Obstacle Detection in Cluttered Traffic Environment Based on Candidate Generation and Classification

Qing Li, F.C. Sun

Abstract


A novel method to detect vehicles is presented in the paper. Assumption of the vehicle is made using the geometrical features of the vehicle rear by the statistical histogram. Then hypothesis is verified using the property of the shadow cast by the car according to a prior acknowledgement of traffic scene. Finally, the vehicle detection is realized by hypothesis and verification of objects. The experimental results show the efficiency and feasibility of the method.

Keywords


objects hypothesis, objects verification, statistical histogram, vehicles detection

Full Text:

PDF

References


M. Bertozzi, A. Broggi,A. Broggi,A. Fascioli,Vision-based intelligent vehicles: state of the art and perspectives, Robotics and Autonomous Systems, Vol. 32, pp. 1-16, 2000.
http://dx.doi.org/10.1016/S0921-8890(99)00125-6

N. Matthews, P. D. Charnley, C. Harris, Vehicle detection and recognition in greyscale imagery, Control Engineering Practice, Vol. 4, pp. 473-479, 1996.
http://dx.doi.org/10.1016/0967-0661(96)00028-7

D. C. Tseng, C. H. Chang, Color segmentation using perceptual attributes, Proceedings of IEEE International Conference on Image Processing, pp. 228-231, 1992.
http://dx.doi.org/10.1109/icpr.1992.201967

H. D. Cheng, Y. Sun, A hierarchical approach to color image segmentation using homogeneity, IEEE Transactions on Image Processing, Vol. 9, No. 12, pp. 2071-2082, 2000.
http://dx.doi.org/10.1109/83.887975

H. Mori, N. M. CharkariY, T. Matsushita, On-line vehicle and pedestrian detections based on sign pattern, IEEE Transactions on industrial electronics, Vol. 41, No. 4, pp. 384-391, 1994.
http://dx.doi.org/10.1109/41.303788

M. Y. Chern, B. Y. Shyr, Locating nearby vehicles on highway at daytime based on the front vision of a moving car, Proceedings of Robotics and Automation, Vol. 2, pp. 2085-2090, 2003.

S. Kyo, T. Koga, K. Sakurai, S.OkazakiM, A robust vehicle detecting and tracking system for wet weather conditions using the LMAP-VISION Image Processing Board, Proceedings of IEEE International Conference on Intelligent Transportation Systems, pp. 423-428, 1999.

S. Nadimi, B. Bhanu, Physical models for moving shadow and object detection in video, IEEE Transactions on Pattern Analysis and Machine Intelligence, Vol. 26, No. 8, pp. 1079-1087, 2004.
http://dx.doi.org/10.1109/TPAMI.2004.51




DOI: https://doi.org/10.15837/ijccc.2006.4.2311



Copyright (c) 2017 Qing Li, F.C. Sun

Creative Commons License
This work is licensed under a Creative Commons Attribution-NonCommercial 4.0 International License.

CC-BY-NC  License for Website User

Articles published in IJCCC user license are protected by copyright.

Users can access, download, copy, translate the IJCCC articles for non-commercial purposes provided that users, but cannot redistribute, display or adapt:

  • Cite the article using an appropriate bibliographic citation: author(s), article title, journal, volume, issue, page numbers, year of publication, DOI, and the link to the definitive published version on IJCCC website;
  • Maintain the integrity of the IJCCC article;
  • Retain the copyright notices and links to these terms and conditions so it is clear to other users what can and what cannot be done with the  article;
  • Ensure that, for any content in the IJCCC article that is identified as belonging to a third party, any re-use complies with the copyright policies of that third party;
  • Any translations must prominently display the statement: "This is an unofficial translation of an article that appeared in IJCCC. Agora University  has not endorsed this translation."

This is a non commercial license where the use of published articles for commercial purposes is forbiden. 

Commercial purposes include: 

  • Copying or downloading IJCCC articles, or linking to such postings, for further redistribution, sale or licensing, for a fee;
  • Copying, downloading or posting by a site or service that incorporates advertising with such content;
  • The inclusion or incorporation of article content in other works or services (other than normal quotations with an appropriate citation) that is then available for sale or licensing, for a fee;
  • Use of IJCCC articles or article content (other than normal quotations with appropriate citation) by for-profit organizations for promotional purposes, whether for a fee or otherwise;
  • Use for the purposes of monetary reward by means of sale, resale, license, loan, transfer or other form of commercial exploitation;

    The licensor cannot revoke these freedoms as long as you follow the license terms.

[End of CC-BY-NC  License for Website User]


INTERNATIONAL JOURNAL OF COMPUTERS COMMUNICATIONS & CONTROL (IJCCC), With Emphasis on the Integration of Three Technologies (C & C & C),  ISSN 1841-9836.

IJCCC was founded in 2006,  at Agora University, by  Ioan DZITAC (Editor-in-Chief),  Florin Gheorghe FILIP (Editor-in-Chief), and  Misu-Jan MANOLESCU (Managing Editor).

Ethics: This journal is a member of, and subscribes to the principles of, the Committee on Publication Ethics (COPE).

Ioan  DZITAC (Editor-in-Chief) at COPE European Seminar, Bruxelles, 2015:

IJCCC is covered/indexed/abstracted in Science Citation Index Expanded (since vol.1(S),  2006); JCR2018: IF=1.585..

IJCCC is indexed in Scopus from 2008 (CiteScore2018 = 1.56):

Nomination by Elsevier for Journal Excellence Award Romania 2015 (SNIP2014 = 1.029): Elsevier/ Scopus

IJCCC was nominated by Elsevier for Journal Excellence Award - "Scopus Awards Romania 2015" (SNIP2014 = 1.029).

IJCCC is in Top 3 of 157 Romanian journals indexed by Scopus (in all fields) and No.1 in Computer Science field by Elsevier/ Scopus.

 

 Impact Factor in JCR2018 (Clarivate Analytics/SCI Expanded/ISI Web of Science): IF=1.585 (Q3). Scopus: CiteScore2018=1.56 (Q2);

SCImago Journal & Country Rank

Editors-in-Chief: Ioan DZITAC & Florin Gheorghe FILIP.