Efficient Video Processing Method for Traffic Monitoring Combining Motion Detection and Background Subtraction

Proceedings of the Fourth International Conference on Signal and Image Processing 2012 (ICSIP 2012) 2013
Roberts Kadiķis, Kārlis Freivalds

A computationally efficient video processing algorithm for vehicle detection is presented. The algorithm detects vehicles that arrive on a defined detection line. Inter-frame difference is used to detect the presence of a vehicle and background subtraction is used to find the shape of the object that does not belong to an empty road. If movement is detected, intervals corresponding to the moving objects are created on the detection line. Further processing of intervals allows detecting and counting the objects. The accuracy of the proposed method is analyzed on different roads and in different weather conditions. © 2013 Springer.

Keywords
Background subtraction | Image processing | Movement detection | Vehicle detection
DOI
10.1007/978-81-322-0997-3_12
Hyperlink
https://link.springer.com/chapter/10.1007%2F978-81-322-0997-3_12

Kadiķis, R., Freivalds, K. Efficient Video Processing Method for Traffic Monitoring Combining Motion Detection and Background Subtraction. In: Proceedings of the Fourth International Conference on Signal and Image Processing 2012 (ICSIP 2012), India, Coimbatore, 13-15 December, 2012. Cham: Springer International Publishing AG, 2013, pp.131-141. ISBN 9788132209966. ISSN 1876-1100. Available from: doi:10.1007/978-81-322-0997-3_12

Publication language
English (en)