RECTANGULAR EMPTY PARKING SPACE DETECTION USING SIFT BASED CLASSIFICATION

Harish Bhaskar, Naoufel Werghi, Saeed Al-Mansoori

Abstract

In this paper, we describe a method of combining rectangle detection and scale invariant feature transform (SIFT) analysis for empty parking space detection. A parking space in a parking lot is represented as a rectangular region of pixels in an image captured from an aerial camera. Detecting rectangular parking spaces in a new image involves an alternating scheme of extracting peaks from the Radon transform for the whole image and filtering them against specific geometric and spatial constraints. We then compute SIFT descriptors from these detected rectangular parking spaces and further apply supervised classification methods for detecting empty parking spaces. We demonstrate the performance of our model on several synthetic and real data.

References

  1. mote sensed imagery. Proc. IEEE International Connetw Proc. Int. Sym. Pervasive Computing and ference on Image Pororckess.sing, pages 1852-1855.
  2. Tang, V. W. S., Zheng, Y., and Cao, J. (2006). An intelligent car park management system based on wireless sensor networks. Proc. Int. Sym. Pervasive Computing and Applications, pages 6570.
  3. Wang, X. and Hanson, A. (1998). Parking lot analysis and visualization from aerial images. Proc. of the 4th IEEE Workshop on Applications of Computer Vision, page 36.
  4. Wol , J., Heuer, T., Gao, H., Weinmann, M., Voit, S., and Hartmann, U. (2006). Parking monitor system based on magnetic field sensors. Proc. IEEE Conf. Intelligent Transportation Systems, pages 12751279.
  5. Yang, Y. and Newsam, S. (2008). Comparing sift descriptors and gabor texture features for classification of remote sensed imagery. Proc.IEEE International Conference on Image Processing, pages 18521855.
  6. Yu, C. and Liu, J. (2004). A type of sensor to detect occupancy of vehicle berth in carpark. Proc. 7th Int. Conf. Signal Processing, pages 27082711.
Download


Paper Citation


in Harvard Style

Bhaskar H., Werghi N. and Al-Mansoori S. (2011). RECTANGULAR EMPTY PARKING SPACE DETECTION USING SIFT BASED CLASSIFICATION . In Proceedings of the International Conference on Computer Vision Theory and Applications - Volume 1: VISAPP, (VISIGRAPP 2011) ISBN 978-989-8425-47-8, pages 214-220. DOI: 10.5220/0003358702140220


in Bibtex Style

@conference{visapp11,
author={Harish Bhaskar and Naoufel Werghi and Saeed Al-Mansoori},
title={RECTANGULAR EMPTY PARKING SPACE DETECTION USING SIFT BASED CLASSIFICATION},
booktitle={Proceedings of the International Conference on Computer Vision Theory and Applications - Volume 1: VISAPP, (VISIGRAPP 2011)},
year={2011},
pages={214-220},
publisher={SciTePress},
organization={INSTICC},
doi={10.5220/0003358702140220},
isbn={978-989-8425-47-8},
}


in EndNote Style

TY - CONF
JO - Proceedings of the International Conference on Computer Vision Theory and Applications - Volume 1: VISAPP, (VISIGRAPP 2011)
TI - RECTANGULAR EMPTY PARKING SPACE DETECTION USING SIFT BASED CLASSIFICATION
SN - 978-989-8425-47-8
AU - Bhaskar H.
AU - Werghi N.
AU - Al-Mansoori S.
PY - 2011
SP - 214
EP - 220
DO - 10.5220/0003358702140220