Video-based real-time on-street parking occupancy detection system

Orhan Bulan; Robert P. Loce; Wencheng Wu; Yao Rong Wang; Edgar A. Bernal; Zhigang Fan

doi:10.1117/1.JEI.22.4.041109

12 August 2013 Video-based real-time on-street parking occupancy detection system

Orhan Bulan, Robert P. Loce, Wencheng Wu, Yao Rong Wang, Edgar A. Bernal, Zhigang Fan

Author Affiliations +

Journal of Electronic Imaging, Vol. 22, Issue 4, 041109 (August 2013). https://doi.org/10.1117/1.JEI.22.4.041109

Abstract

Urban parking management is receiving significant attention due to its potential to reduce traffic congestion, fuel consumption, and emissions. Real-time parking occupancy detection is a critical component of on-street parking management systems, where occupancy information is relayed to drivers via smart phone apps, radio, Internet, on-road signs, or global positioning system auxiliary signals. Video-based parking occupancy detection systems can provide a cost-effective solution to the sensing task while providing additional functionality for traffic law enforcement and surveillance. We present a video-based on-street parking occupancy detection system that can operate in real time. Our system accounts for the inherent challenges that exist in on-street parking settings, including illumination changes, rain, shadows, occlusions, and camera motion. Our method utilizes several components from video processing and computer vision for motion detection, background subtraction, and vehicle detection. We also present three traffic law enforcement applications: parking angle violation detection, parking boundary violation detection, and exclusion zone violation detection, which can be integrated into the parking occupancy cameras as a value-added option. Our experimental results show that the proposed parking occupancy detection method performs in real-time at 5 frames/s and achieves better than 90% detection accuracy across several days of videos captured in a busy street block under various weather conditions such as sunny, cloudy, and rainy, among others.

© The Authors. Published by SPIE under a Creative Commons Attribution 3.0 Unported License. Distribution or reproduction of this work in whole or in part requires full attribution of the original publication, including its DOI.

Citation Download Citation

Orhan Bulan, Robert P. Loce, Wencheng Wu, Yao Rong Wang, Edgar A. Bernal, and Zhigang Fan "Video-based real-time on-street parking occupancy detection system," Journal of Electronic Imaging 22(4), 041109 (12 August 2013). https://doi.org/10.1117/1.JEI.22.4.041109

Published: 12 August 2013

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