Clustering vehicle movement in restricted area for security: an experimental analysis

Qurban A. Memon

doi:10.1117/12.2675490

10 April 2023 Clustering vehicle movement in restricted area for security: an experimental analysis

Qurban A. Memon

Proceedings Volume 12616, International Conference on Mathematical and Statistical Physics, Computational Science, Education, and Communication (ICMSCE 2022); 126160H (2023) https://doi.org/10.1117/12.2675490
Event: International Conference on Mathematical and Statistical Physics, Computational Science, Education, and Communication (ICMSCE 2022), 2022, Istanbul, Turkey

Abstract

Vehicle access in restricted or protected areas of a country involves phase wise collection of vehicle data in areas like diplomatic enclave. Thus, data gathering at each street junction produces an output that forms the input to the next junction. The analysis system thus developed is intended to be used by government agencies and other special task force to provide sound reports for legal proceeding against violations. In this research, two approaches namely SOM and K-means clustering are used to generate a low-dimensional discretized representation of the vehicle data in the original feature space. The objective is to generate access control for security purposes by providing an automated vehicle analysis based upon clustered data for quicker information on vehicle movement in a particular neighborhood. Comprehensive experimental results are presented to draw conclusions.

Citation Download Citation

Qurban A. Memon "Clustering vehicle movement in restricted area for security: an experimental analysis", Proc. SPIE 12616, International Conference on Mathematical and Statistical Physics, Computational Science, Education, and Communication (ICMSCE 2022), 126160H (10 April 2023); https://doi.org/10.1117/12.2675490

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