Compared with traditional vehicle detectors, video sensor has lots of advantages, i.e., easy installation and maintenance, wide monitoring areas, obtaining more kinds of traffic parameters and etc, so it has been widely used in Intelligent Traffic Systems. On this basis, discuss about the vehicle detection methods based on feature, model checking, frame difference, optical flow field. At the same time, the verification method is introduced, and the advantages and disadvantages of various algorithms are analyzed and compared. Finally, some suggestions for future research and application are presented, for example, vehicle detection is carried out by using a variety of detection methods and multi detector information fusion.
| Published in | International Journal of Science, Technology and Society (Volume 5, Issue 4) |
| DOI | 10.11648/j.ijsts.20170504.21 |
| Page(s) | 126-130 |
| Creative Commons |
This is an Open Access article, distributed under the terms of the Creative Commons Attribution 4.0 International License (http://creativecommons.org/licenses/by/4.0/), which permits unrestricted use, distribution and reproduction in any medium or format, provided the original work is properly cited. |
| Copyright |
Copyright © The Author(s), 2017. Published by Science Publishing Group |
Intelligent Transportation System, Vehicle Detection, Monocular Vision
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APA Style
Jiao Zhiyuan, Xing Yanfeng. (2017). Review on Vehicle Detection Based on Video Processing. International Journal of Science, Technology and Society, 5(4), 126-130. https://doi.org/10.11648/j.ijsts.20170504.21
ACS Style
Jiao Zhiyuan; Xing Yanfeng. Review on Vehicle Detection Based on Video Processing. Int. J. Sci. Technol. Soc. 2017, 5(4), 126-130. doi: 10.11648/j.ijsts.20170504.21
AMA Style
Jiao Zhiyuan, Xing Yanfeng. Review on Vehicle Detection Based on Video Processing. Int J Sci Technol Soc. 2017;5(4):126-130. doi: 10.11648/j.ijsts.20170504.21
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Download@article{10.11648/j.ijsts.20170504.21,
author = {Jiao Zhiyuan and Xing Yanfeng},
title = {Review on Vehicle Detection Based on Video Processing},
journal = {International Journal of Science, Technology and Society},
volume = {5},
number = {4},
pages = {126-130},
doi = {10.11648/j.ijsts.20170504.21},
url = {https://doi.org/10.11648/j.ijsts.20170504.21},
eprint = {https://article.sciencepublishinggroup.com/pdf/10.11648.j.ijsts.20170504.21},
abstract = {Compared with traditional vehicle detectors, video sensor has lots of advantages, i.e., easy installation and maintenance, wide monitoring areas, obtaining more kinds of traffic parameters and etc, so it has been widely used in Intelligent Traffic Systems. On this basis, discuss about the vehicle detection methods based on feature, model checking, frame difference, optical flow field. At the same time, the verification method is introduced, and the advantages and disadvantages of various algorithms are analyzed and compared. Finally, some suggestions for future research and application are presented, for example, vehicle detection is carried out by using a variety of detection methods and multi detector information fusion.},
year = {2017}
}
TY - JOUR T1 - Review on Vehicle Detection Based on Video Processing AU - Jiao Zhiyuan AU - Xing Yanfeng Y1 - 2017/07/18 PY - 2017 N1 - https://doi.org/10.11648/j.ijsts.20170504.21 DO - 10.11648/j.ijsts.20170504.21 T2 - International Journal of Science, Technology and Society JF - International Journal of Science, Technology and Society JO - International Journal of Science, Technology and Society SP - 126 EP - 130 PB - Science Publishing Group SN - 2330-7420 UR - https://doi.org/10.11648/j.ijsts.20170504.21 AB - Compared with traditional vehicle detectors, video sensor has lots of advantages, i.e., easy installation and maintenance, wide monitoring areas, obtaining more kinds of traffic parameters and etc, so it has been widely used in Intelligent Traffic Systems. On this basis, discuss about the vehicle detection methods based on feature, model checking, frame difference, optical flow field. At the same time, the verification method is introduced, and the advantages and disadvantages of various algorithms are analyzed and compared. Finally, some suggestions for future research and application are presented, for example, vehicle detection is carried out by using a variety of detection methods and multi detector information fusion. VL - 5 IS - 4 ER -
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