Detection of Fast Moving Vehicles In Aerial Videos Using Machine Learning Techniques

Authors

  • Dr. J Madhavan  Professor, Department of ECE, Bhoj Reddy Engineering College for Women, Vinay Nagar, Hyderabad, Telangana, India.
  • Dr. A.Karthikayen  Professor, Department of ECE, PBR Visvodaya Institute Of Technology and Science, Kavali, SPSR Nellore, Andhra Pradesh, India Email id: nandhikripa@gmail.com.
  • Dr. M. Venkatesan  Professor, Department of ECE, PBR Visvodaya Institute Of Technology and Science, Kavali, SPSR Nellore, Andhra Pradesh, India Email id: hellomvenkat@gmail.com.
  • Dr. Bhaludra R Nadh Singh   Professor, Department of CSE, Bhoj Reddy Engineering College for Women, Vinay Nagar, Hyderabad, Telangana, India
  • Dr. Bremiga Gopalan  Assistant Professor, Department of ECE, Bhoj Reddy Engineering College for Women, Vinay Nagar, Hyderabad, Telangana, India

Keywords:

Historial, Camera Motion, machine learning techniques.

Abstract

Intelligent Transportation Systems (ITS) permit us to have high exceptional site visitors facts to lessen the danger of probably vital situations. Conventional image primarily based site visitors detection strategies have difficulties obtaining precise photographs due to attitude and historical past noise, negative lights and weather conditions. In this paper, we suggest a brand new method to correctly phase and track cars. After disposing of perspective the use of Modified Inverse Perspective Mapping (MIPM), Hough remodel is carried out to extract avenue lines and lanes. Then, Gaussian Mixture Models (GMM) are used to segment transferring items and to tackle vehicle shadow results, we observe a chromacity-based totally strategy. Finally, performance is evaluated via three one of a kind video benchmarks: personal recorded videos in Madrid and Tehran (with distinct weather situations at urban and interurban regions); and two famous public datasets (KITTI and DETRAC). Our effects imply that the proposed algorithms are strong, and greater accurate in comparison to others, mainly when going through occlusions, lighting fixtures versions and climate situations.

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International Journal of Scientific Research in Science and Technology

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Published

2020-12-30

Issue

Volume 7, Issue 6, November-December-2020

Section

Research Articles

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How to Cite

[1]
Dr. J Madhavan, Dr. A.Karthikayen, Dr. M. Venkatesan, Dr. Bhaludra R Nadh Singh , Dr. Bremiga Gopalan "Detection of Fast Moving Vehicles In Aerial Videos Using Machine Learning Techniques" International Journal of Scientific Research in Science and Technology(IJSRST), Online ISSN : 2395-602X, Print ISSN : 2395-6011,Volume 7, Issue 6, pp.532-539, November-December-2020.