AUTOMATIC CAR PARKING USING SURF AND RANSAC ALGORITHM

SANDIP MEHTA

Abstract


Traffic congestion has become an unavoidable condition in large and growing metropolitan areas across the world creating parking problems. Parking a car is often a tricky task to perform. Several drivers have difficulty in parking theirs car in parallel or in reverse. Some drivers would even avoid to park their vehicles in a parking lot that requires the execution of these maneuvers. This paper proposes an automatic car parking system using SURF and RANSAC algorithm. Here, image color enhancement is carried out by RGB to HSV conversion. The SURF feature is extracted for reference and test and finally the extraction of ROIs is done using colour normalization. The results demonstrate that if absolute sum of difference of ROIs is greater than a predetermined threshold, it would mean that the car is parked in that slot else slot is empty.

Keywords


Affine Transform, HSV, RGB, ROI, SURF, RANSAC

Full Text:

PDF

References


Li TH, Chang S.J., “Autonomous Fuzzy Parking Control of a Car-Like Mobile Robot”, IEEE Transactions on Systems, Man, and Cybernetics-Part A: Systems and Humans. Vol. 33, No. 4, pp. 451-65, July 2003.

Stefan Funck, Nikolaus Mohler and Wolfgang Oertelm, “Determining Car-Park Occupancy from Single Images”, IEEE, Intelligent Vehicles Symposium, pp. 325 – 328, June 2004.

Ching-Chun Huang, Sheng-Jyh Wang, Yao-Jen Chang, and Tsuhan Chen, “A Bayesian Hierarchical Detection Framework for Parking Space Detection”, IEEE International Conference on Acoustics, Speech and Signal Processing, ISSN: 1520-6149, pp. 2097-2100, April 2008.

Ricardo Mejía-Iñigo, María E. Barilla-Pérez and Héctor A. Montes-Venegas, “Color-based Texture Image Segmentation for Vehicle Detection”, IEEE, 6th International Conference on Electrical Engineering, Computing Science and Automatic Control, CCE, pp. 1-6, January 2009.

Wah C., “Parking space vacancy monitoring”, Projects in Vision and Learning, 2009.

Idris MY, Tamil EM, Razak Z, Noor NM, Kin LW, “Smart parking system using image processing techniques in wireless sensor network environment”, Information Technology Journal, Vol. 8, Issue 2, pp. 114-127, 2009.

Dong, Z. and Yong-qiang, B., 2015, July. A novel fast haze removal technique for single image using image pyramid. In Control Conference (CCC), 2015 34th Chinese (pp. 3816-3821). IEEE.

Fraifer, M. and Fernström, M., 2016. Investigation of smart parking systems and their technologies. In Thirty Seventh International Conference on Information Systems. IoT Smart City Challenges Applications (ISCA 2016), Dublin, Ireland (pp. 1-14).

Bay, H., Tuytelaars, T. and Van Gool, L., 2006. Surf: Speeded up robust features. Computer vision–ECCV 2006, pp.404-417.

Lepik, Ü., 2005. Numerical solution of differential equations using Haar wavelets. Mathematics and Computers in Simulation, 68(2), pp.127-143.

Fischler, M.A. and Bolles, R.C., 1981. Random sample consensus: a paradigm for model fitting with applications to image analysis and automated cartography. Communications of the ACM, 24(6), pp.381-395.

Finlayson, G.D. and Tian, G.Y., 1999. Color normalization for color object recognition. International Journal of Pattern Recognition and Artificial Intelligence, 13(08), pp.1271-1285.




DOI: https://doi.org/10.26483/ijarcs.v8i9.4894

Refbacks

  • There are currently no refbacks.




Copyright (c) 2017 International Journal of Advanced Research in Computer Science