Vacant Parking Space Detection Based on Plane-Based Bayesian Hierarchical Framework
| Autor: | Yu-Shu Tai, Sheng-Jyh Wang, Ching-Chun Huang |
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| Rok vydání: | 2013 |
| Předmět: | |
| Zdroj: | IEEE Transactions on Circuits and Systems for Video Technology. 23:1598-1610 |
| ISSN: | 1558-2205 1051-8215 |
| DOI: | 10.1109/tcsvt.2013.2254961 |
| Popis: | In this paper, we propose a vacant parking space detection system that operates day and night. In the daytime, the major challenges of the system include dramatic lighting variations, shadow effect, inter-object occlusion, and perspective distortion. In the nighttime, the major challenges include insufficient illumination and complicated lighting conditions. To overcome these problems, we propose a plane-based method which adopts a structural 3-D parking lot model consisting of plentiful planar surfaces. The plane-based 3-D scene model plays a key part in handling inter-object occlusion and perspective distortion. On the other hand, to alleviate the interference of unpredictable lighting changes and shadows, we propose a plane-based classification process. Moreover, by introducing a Bayesian hierarchical framework to integrate the 3-D model with the plane-based classification process, we systematically infer the parking status. Last, to overcome the insufficient illumination in the nighttime, we also introduce a preprocessing step to enhance image quality. The experimental results show that the proposed framework can achieve robust detection of vacant parking spaces in both daytime and nighttime. |
| Databáze: | OpenAIRE |
| Externí odkaz: |
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