Vehicle Classification and Counting from Surveillance Camera Using Computer Vision

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Vehicle Classification and Counting from Surveillance Camera Using Computer Vision

Ayub khan, A. / Sabeenian, R. S. / Janani, A. S. / Akash, P.

Over the last decade, the number of automobiles has skyrocketed. There are more than one billion active automobiles in the universe, including 70–80 million in India. Handling such traffic conditions and providing enough parking spaces is a difficult task. Vehicle counting and classification on congested routes will assist authorities in obtaining traffic flow data as well as understanding and studying traffic patterns, allowing for the most efficient traffic management. As a result, the aim of this work is that a cost-effective vision-based vehicle counting and classification system that is mainly implemented in OpenCV utilising Python programming and some methods of image processing.

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Document information

Title :

Vehicle Classification and Counting from Surveillance Camera Using Computer Vision

Additional title:

Lect. Notes in Networks, Syst.

Contributors:

Suma, V. (editor) / Baig, Zubair (editor) / Kolandapalayam Shanmugam, Selvanayaki (editor) / Lorenz, Pascal (editor) / Ayub khan, A. (author) / Sabeenian, R. S. (author) / Janani, A. S. (author) / Akash, P. (author)

Published in:

Inventive Systems and Control ; Chapter : 31 ; 457-470

Lecture Notes in Networks and Systems ; 436

Publication date :

2022-08-02

Size :

14 pages

ISBN :

978-981-19-1012-8 , 978-981-19-1011-1

ISSN :

2367-3389 , 2367-3370

DOI :