Vision based System for Vacant Parking Lot Detection: VPLD

Imen Masmoudi, Ali Wali, Anis Jamoussi, Adel M. Alimi

2014

Abstract

The proposed system comes in the context of intelligent parking lots management and presents an approach for vacant parking spots detection and localization. Our system provides a camera-based solution, which can deal with outdoor parking lots. It returns the real time states of the parking lots providing the number of available vacant places and its specific positions in order to guide the drivers through the roads. In order to eliminate the real world challenges, we propose a combination of the Adaptive Background Subtraction algorithm to overcome the problems of changing lighting and shadow effects with the Speeded Up Robust Features algorithm to benefit from its robustness to the scale changes and the rotation. Our approach presents also a new state ”Transition” for the classification of the parking places states.

References

  1. Bay, H., Ess, A., Tuytelaars, T., and Gool, L. V. (2008). Surf: Speeded up robust features. Computer Vision and Image Understanding, 110:346-359.
  2. Bong, D. B. L.; Ting, K. C. L. K. C. (2008). Integrated approach in the design of car park occupancy information system (coins). IAENG International Journal of Computer Science, 35:7.
  3. Dalal, N. and Triggs, B. (2005). Histograms of oriented gradients for human detection. In Schmid, C., Soatto, S., and Tomasi, C., editors, International Conference on Computer Vision & Pattern Recognition, volume 2, pages 886-893, INRIA Rhoˆne-Alpes, ZIRST-655, av. de l'Europe, Montbonnot-38334.
  4. Dubrofsky, E. and Woodham, R. J. (2008). Combining line and point correspondences for homography estimation. In ISVC (2), volume 5359 of Lecture Notes in Computer Science, pages 202-213. Springer.
  5. Fabian, T. (2008). An algorithm for parking lot occupation detection. In Computer Information Systems and Industrial Management Applications, 2008. CISIM 7808. 7th, pages 165-170.
  6. Hamid Parvin, H. A. and Minaei-Bidgoli, B. (2008). Mknn: Modified k-nearest neighbor. In World Congress on Engineering and Computer Science 2008.
  7. Huang, C.-C., Dai, Y.-S., and Wang, S.-J. (2012). A surfacebased vacant space detection for an intelligent parking lot. In ITS Telecommunications (ITST), 2012 12th International Conference on, pages 284-288.
  8. Huang, C. C. and Wang, S. J. (2010). A hierarchical bayesian generation framework for vacant parking space detection. IEEE Trans. Cir. and Sys. for Video Technol., 20(12):1770-1785.
  9. Ichihashi, H., Katada, T., Fujiyoshi, M., Notsu, A., and Honda, K. (2010). Improvement in the performance of camera based vehicle detector for parking lot. In Fuzzy Systems (FUZZ), 2010 IEEE International Conference on, pages 1-7.
  10. Ju, Z. and Liu, H. (2012). Fuzzy gaussian mixture models. Pattern Recognition, 45:1146-1158.
  11. Lin, C.-C. and Wang, M.-S. (2012). A vision based topview transformation model for a vehicle parking assistant. Sensors, 12(4):4431-4446.
  12. Lin, S.-F., Chen, Y.-Y., and Liu, S.-C. (2006). A visionbased parking lot management system. In Systems, Man and Cybernetics, 2006. SMC 7806. IEEE International Conference on, volume 4, pages 2897-2902.
  13. Oh, S., Hoogs, A., Perera, A., Cuntoor, N., Chen, C.- C., Lee, J. T., Mukherjee, S., Aggarwal, J. K., Lee, H., Davis, L., Swears, E., Wang, X., Ji, Q., Reddy, K., Shah, M., Vondrick, C., Pirsiavash, H., Ramanan, D., Yuen, J., Torralba, A., Song, B., Fong, A., RoyChowdhury, A., and Desai, M. (2011). A large-scale benchmark dataset for event recognition in surveillance video. In CVPR.
  14. Sastre, R., Gil Jimenez, P., Acevedo, F. J., and Maldonado Bascon, S. (2007). Computer algebra algorithms applied to computer vision in a parking management system. In Industrial Electronics, 2007. ISIE 2007. IEEE International Symposium on, pages 1675-1680.
  15. Tschentscher, M., Neuhausen, M., Koch, C., Knig, M., Salmen, J., and Schlipsing, M. (2013). Comparing image features and machine learning algorithms for real-time parking space classification. In Computing in Civil Engineering (2013), pages 363-370.
  16. Wu, Q., Huang, C., yu Wang, S., chen Chiu, W., and Chen, T. (2007). Robust parking space detection considering inter-space correlation. In ICME, pages 659-662. IEEE.
  17. Zhang, L., Lin, F., and Zhang, B. (2001). Support vector machine learning for image retrieval. In Image Processing, 2001. Proceedings. 2001 International Conference on, volume 2, pages 721-724 vol.2.
Download


Paper Citation


in Harvard Style

Masmoudi I., Wali A., Jamoussi A. and Alimi A. (2014). Vision based System for Vacant Parking Lot Detection: VPLD . In Proceedings of the 9th International Conference on Computer Vision Theory and Applications - Volume 2: VISAPP, (VISIGRAPP 2014) ISBN 978-989-758-004-8, pages 526-533. DOI: 10.5220/0004730605260533


in Bibtex Style

@conference{visapp14,
author={Imen Masmoudi and Ali Wali and Anis Jamoussi and Adel M. Alimi},
title={Vision based System for Vacant Parking Lot Detection: VPLD},
booktitle={Proceedings of the 9th International Conference on Computer Vision Theory and Applications - Volume 2: VISAPP, (VISIGRAPP 2014)},
year={2014},
pages={526-533},
publisher={SciTePress},
organization={INSTICC},
doi={10.5220/0004730605260533},
isbn={978-989-758-004-8},
}


in EndNote Style

TY - CONF
JO - Proceedings of the 9th International Conference on Computer Vision Theory and Applications - Volume 2: VISAPP, (VISIGRAPP 2014)
TI - Vision based System for Vacant Parking Lot Detection: VPLD
SN - 978-989-758-004-8
AU - Masmoudi I.
AU - Wali A.
AU - Jamoussi A.
AU - Alimi A.
PY - 2014
SP - 526
EP - 533
DO - 10.5220/0004730605260533