Abstract
This research intends to develop the speed violated vehicle detection system using image processing technique. Overall works are the software development of a system that requires a video scene, which consists of the following components: moving vehicle, starting reference point and ending reference point. A dedicated digital signal processing chip is used to exploit computationally inexpensive image-processing techniques over the video sequence captured from the fixed position video camera for estimating the speed of the moving vehicles The moving vehicles are detected by analyzing the binary image sequences that are constructed from the captured frames by employing the interface difference or the background subtraction Algorithm. A novel adaptive Thresholding method is proposed to binarize the outputs from the interframe difference and the background subtraction techniques The system is designed to detect the position of the moving vehicle in the scene and the position of the reference points and calculate the speed of each static image frame from the detected positions and report, to speed violated vehicle information to the authorised remote station
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© 2011 Springer-Verlag Berlin Heidelberg
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Adinarayana, G., Lakshmi Sirisha, B., Sri Rama Krishna, K., Kantikiran, M. (2011). Implementation of LabVIEW Based Intelligent System for Speed Violated Vehicle Detection. In: Nagamalai, D., Renault, E., Dhanuskodi, M. (eds) Advances in Digital Image Processing and Information Technology. DPPR 2011. Communications in Computer and Information Science, vol 205. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-642-24055-3_3
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DOI: https://doi.org/10.1007/978-3-642-24055-3_3
Publisher Name: Springer, Berlin, Heidelberg
Print ISBN: 978-3-642-24054-6
Online ISBN: 978-3-642-24055-3
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