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Survey on Vehicle Detection and Tracking Techniques in Video Surveillance

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International Journal of Computer Applications
Foundation of Computer Science (FCS), NY, USA
Year of Publication: 2017
Authors:
Swathy M., Nirmala P. S., Geethu P. C.
10.5120/ijca2017913086

Swathy M., Nirmala P S. and Geethu P C.. Survey on Vehicle Detection and Tracking Techniques in Video Surveillance. International Journal of Computer Applications 160(7):22-25, February 2017. BibTeX

@article{10.5120/ijca2017913086,
	author = {Swathy M. and Nirmala P. S. and Geethu P. C.},
	title = {Survey on Vehicle Detection and Tracking Techniques in Video Surveillance},
	journal = {International Journal of Computer Applications},
	issue_date = {February 2017},
	volume = {160},
	number = {7},
	month = {Feb},
	year = {2017},
	issn = {0975-8887},
	pages = {22-25},
	numpages = {4},
	url = {http://www.ijcaonline.org/archives/volume160/number7/27086-2017913086},
	doi = {10.5120/ijca2017913086},
	publisher = {Foundation of Computer Science (FCS), NY, USA},
	address = {New York, USA}
}

Abstract

It is important to know the road traffic density for effective traffic management and intelligent transportation system (ITS). The increasing traffic volume creates a greatest challenge in today’s traffic research. This work is to detecting moving vehicles in video streams of traffic scenes recorded by low resolution cameras using some of the image processing techniques. Vision based traffic surveillance is a fast emerging field in road management schemes and highway monitoring. Video cameras are used to provide a rich information source for human understanding. Video sequences are captured and tested with the image processing techniques. Many methods and algorithms have been proposed in this paper to detect vehicles on highways..

References

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Keywords

Image processing techniques,Traffic Analysis,Vehicle detection,Vehicle tracking..