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Erschienen in:
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2015 | OriginalPaper | Buchkapitel

A Vision-Based Method for Parking Space Surveillance and Parking Lot Management

verfasst von : Ying Wang, Yangyang Hu, Xuefeng Hu, Yong Zhao

Erschienen in: Image and Graphics

Verlag: Springer International Publishing

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Abstract

In this paper, we develop a new vision-based parking space surveillance system for parking lot management. The system consists of three parts. Initially, a feature-based background model using edge and color characteristics is proposed, and foreground feature is extracted to determine whether the parking space is vacant or not. Secondary, to capture the pictures when a car has been completely into the parking space, we employ adjacent frame difference image to find the static state of the parking space. Finally, for the final decision, an adaptive thresholds updating method is proposed. After experiments on different parking lots, the proposed system has been proved to be effective and accurate.

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Vorheriges Kapitel A Unified Fidelity Optimization Model for Global Color Transfer
Nächstes Kapitel A Well-Behaved TV Logo Recognition Method Using Heuristic Optimality Checked Basis Pursuit Denoising
Literatur
1.
Jermsurawong, J., Ahsan, M.U., Haidar, A., Dong, H., Mavridis, N.: Car parking vacancy detection and its application in 24-hour statistical analysis. In: 2012 10th International Conference on Frontiers of Information Technology, pp. 84–90
2.
Ichihashi, H., Notsu, A., Honda, K., Katada, T., Fujiyoshi, M.: Vacant parking space detector for outdoor parking lot by using surveillance camera and FCM classifier. In: IEEE International Conference on Fuzzy Systems, pp. 127–134
3.
Sevillano, X., Marmol, E., Fernandez-Arguedas, V.: Towards smart traffic management systems: vacant on-street parking spot detection based on video analytics. In: 2014 17th International Conference on Information Fusion(FUSION), pp. 1–8
4.
Wu, Q., Huang, C., Wang, S.-Y., Chiu, W.-C., Chen, T.: Robust parking space detection considering inter-space correlation. In: 2007 IEEE International Conference on Multimedia an Expo, pp. 659–662
5.
Lin, S.-F., Chen, Y.-Y., Liu, S.-C.: A vision-based parking lot management system. IEEE Int. Conf. Syst. Man Cybern. SMC 2006 4, 2897–2902 (2006)CrossRef
6.
Liu, J., Zhao, Y., Yuan, Y., Luo, W., Liu, K.: Vehicle capturing and counting using a new edge extraction approach. In: 2011 14th International IEEE Conference on Intelligent Transportation Systems, pp. 62–66
7.
Chen, L.-C., Gsieh, J.-W., Lai, W.-R., Wu, C.-X., Chen, S.-Y.: Vision-based vehicle surveillance and parking lot management using multiple cameras. In: 2010 Sixth International Conference on Intelligent Information Hiding and Multimedia Signal Processing (IIH-MSP), pp. 631–634
8.
Liu, J., Mohandes, M., Deriche, M.: A Multi-classifier image based vacant parking detection system. In: 2013 IEEE 20th International Conference on Electronics, Circuits, and Systems(ICECS), pp. 933–936
9.
Almeida, P., Oliveira, L.S., Silva, E., Britto, A., Koerich, A.: Parking space detection using textural descriptors. In: 2013 IEEE International Conference on Systems, Man, and Cybernetics (SMC), pp. 3603–3608
10.
Choeychuen, K.: Available car parking space detection from webcam by using adaptive mixing features. In: 2012 International Joint Conference on Computer Science and Software Engineering (JCSSE), pp. 12–16
11.
Unzueta, L., Nieto, M., Cortes, A., Barandiaran, J., Otaegui, O., Sanchez, P.: Adaptive multi-cue background subtraction for robust vehicle counting and classification. IEEE Trans. Intell. Transport. Syst. 13(2), 527–540 (2012)CrossRef
12.
Song, J., Song, H., Wang, W.: An accurate vehicle counting approach based on block background modeling and updating. In: 2014 7th International Congress on Image and Signal Processing (CISP), pp. 16–21
13.
Yuan, Y., Zhao, Y., Wang, X.: Day and night vehicle detection and counting in complex environment. In: 2013 28th International Conference of Image and Vision Computing New Zealand (IVCNZ), pp. 453–458
14.
Canny, J.: A computational approach to edge detection. IEEE Trans. Pattern Anal. Mach. Intell. 8, 679–714 (1986)CrossRef
15.
Chris, S., Grimson, W.E.L.: Adaptive background mixture models for real-time tracking. In: IEEE Computer Society Conference on Computer Vision and Pattern Recognition (CVPR) 1999, pp. 246–252 (1999)
16.
Bong, D.B.L., Ting, K.C., Lai, K.C.: Integrated approach in the design of car park occupancy information system. IAENG Int. J. Comput. Sci. 35, 1–8 (2008)
17.
Wang, S.J., Chang, Y.J., Tsuhan, C.: A bayesian hierarchical detection framework for parking space detection. In: IEEE International Conference on Acoustics, Speech and Signal Processing, pp. 2097–2100 (2008)
Metadaten
Titel
A Vision-Based Method for Parking Space Surveillance and Parking Lot Management
verfasst von
Ying Wang
Yangyang Hu
Xuefeng Hu
Yong Zhao
Copyright-Jahr
2015
Buch
Image and Graphics

Print ISBN: 978-3-319-21977-6

Electronic ISBN: 978-3-319-21978-3

Copyright-Jahr: 2015

DOI
https://doi.org/10.1007/978-3-319-21978-3_45

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