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Title

Detection of pedestrian and different types of vehicles using image processing

Year: 1399
COI: JR_RIEJ-9-2_001
Language: EnglishView: 50
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Authors

H. Herunde - Department of Master of Computer Application, Jain Deemed to be University, Bengalore, Karnataka, India.
A. Singh - Department of Master of Computer Application, Jain Deemed to be University, Bengalore, Karnataka, India.
H. Deshpande - Department of Master of Computer Application, Jain Deemed to be University, Bengalore, Karnataka, India.
P. Shetty - Department of Master of Computer Application, Jain Deemed to be University, Bengalore, Karnataka, India.

Abstract:

Nowadays, the control of the traffic in the urban roads and in the highway has been a big challenge as the number of increase in the auto mobiles. So to overcome this problem we use the detection and tracking the vehicles using the traffic surveillance system. We can manage and control the traffic more easily. It is very complicated and a challenging task to identify the vehicle or a moving object in a complex environment with various background. The ratio detected of such algorithms depends on the quality of the foreground mask generated. Therefore this project is to present the detection and tracking the vehicles and the pedestrians in an efficient method which focus on trajectory motion of the vehicles and the pedestrians. In this proposed method, the pixels in the background are preserved which can be cars, bikes, buses, pedestrian, etc., the rest is discarded as the noise. Hence, our proposed method detects the vehicles and the pedestrians as mentioned and discards the rest noise as well in the same time. Here the quality of the generated foreground mask is more to increase the detection ratio. The performance is compared with other standard methods qualitatively and quantitatively.

Keywords:

vehicles, pedestrians detection, Haar cascade classifier, OpenCV, NumPy, Python, Machine Learning

Paper COI Code

This Paper COI Code is JR_RIEJ-9-2_001. Also You can use the following address to link to this article. This link is permanent and is used as an article registration confirmation in the Civilica reference:

https://civilica.com/doc/1186258/

How to Cite to This Paper:

If you want to refer to this Paper in your research work, you can simply use the following phrase in the resources section:
Herunde, H. and Singh, A. and Deshpande, H. and Shetty, P.,1399,Detection of pedestrian and different types of vehicles using image processing,https://civilica.com/doc/1186258

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