Automatic parking lot occupancy computation using motion tracking

Francisco Justo; Hari Kalva; Daniel Raviv

doi:10.1117/12.2039660

5 March 2014 Automatic parking lot occupancy computation using motion tracking

Francisco Justo, Hari Kalva, Daniel Raviv

Proceedings Volume 9026, Video Surveillance and Transportation Imaging Applications 2014; 90260Q (2014) https://doi.org/10.1117/12.2039660
Event: IS&T/SPIE Electronic Imaging, 2014, San Francisco, California, United States

Abstract

Nowadays it is very hard to find available spots in public parking lots and even harder in public facilities such as universities and sports venues. A system that provides drivers with parking availability and parking lot occupancy will allow users find a parking space much easier and faster. This paper presents a system for automatic parking lot occupancy computation using motion tracking. Methods for complexity reduction are presented. The system showed approximately 96% accuracy in determining parking lot occupancy. We showed that by optimizing the resolution and bitrate of the input video, we can reduce the complexity by 70% and still achieved over 90% of accuracy. The results showed that high quality video is not necessary for the proposed algorithm to obtain accurate results.

Citation Download Citation

Francisco Justo, Hari Kalva, and Daniel Raviv "Automatic parking lot occupancy computation using motion tracking", Proc. SPIE 9026, Video Surveillance and Transportation Imaging Applications 2014, 90260Q (5 March 2014); https://doi.org/10.1117/12.2039660

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