VEHICLE MODEL RECOGNITION BASED ON USING IMAGE PROCESSING AND WAVELET ANALYSIS

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International Journal on Smart Sensing and Intelligent Systems

Professor Subhas Chandra Mukhopadhyay

Exeley Inc. (New York)

Subject: Computational Science & Engineering, Engineering, Electrical & Electronic

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VOLUME 8 , ISSUE 4 (December 2015) > List of articles

VEHICLE MODEL RECOGNITION BASED ON USING IMAGE PROCESSING AND WAVELET ANALYSIS

Elyas Abbasi Jennat Abadi * / Soheyl Akhlaghi Amiri * / Masoud Goharimanesh * / Aliakbar Akbari *

Keywords : Image Processing, Wavelet Transform, Feature Vector, Similarity Factor.

Citation Information : International Journal on Smart Sensing and Intelligent Systems. Volume 8, Issue 4, Pages 2,212-2,230, DOI: https://doi.org/10.21307/ijssis-2017-850

License : (CC BY-NC-ND 4.0)

Received Date : 20-August-2015 / Accepted: 15-November-2015 / Published Online: 01-December-2015

ARTICLE

ABSTRACT

Today, using intelligent transport systems such as identifying vehicle type for monitoring traffic in urban areas can advantage a lot. In this paper, a new method has been presented to detect vehicle type with only one reference image per class. Our algorithm is based on searching mean gradients and analysing these changes by Daubechies wavelet transformation. Firstly, a feature vector is obtained based on the car boundary changes of the side view image in proposed system. This vector is then analyzed by Daubechies wavelet transformation and three statistical criteria; variance, norm-1 and norm-2 are extracted from wavelet coefficients. Finally, a similarity factor is defined to detect the same type of vehicles. The proposed algorithm is resistant against car edge negligible changes and the experimental results indicate the high performance of system in detecting the vehicle types.

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[1] W. Xiaojun, Feng, P., & Eeihong, W., "Tracking of moving target based on video motion nuclear algorithm " International Journal on Smart Sensing and Intelligent Systems vol. vol. 8, no. 1, pp. 181 - 198, MARCH 2015.
[2] G. Q. Yiling Chen, "Video-based vehicle detection and classification in challenging scenarios," International Journal on Smart Sensing and Intelligent Systems, vol. vol. 7, no. 3, pp. 1077- 1094, 2014.
[3] L. Janowski, P. Kozłowski, R. Baran, P. Romaniak, A. Glowacz, and T. Rusc, "Quality assessment for a visual and automatic license plate recognition," Multimedia Tools and Applications, vol. 68, pp. 23-40, 2014.
[4] T. Samatsu, K. Tachikawa, and Y. Shi, "Image processing for car shapes in the fuzzy retrieval system," ICIC Express Letters B, vol. 1, pp. 1-7, 2010.
[5] M. Abbasgholipour, M. Omid, A. Keyhani, and S. Mohtasebi, "Color image segmentation with genetic algorithm in a raisin sorting system based on machine vision in variable conditions," Expert Systems with Applications, vol. 38, pp. 3671-3678, 2011.
[6] H. Cevikalp, B. Triggs, and V. Franc, "Face and landmark detection by using cascade of classifiers," in Automatic Face and Gesture Recognition (FG), 2013 10th IEEE International Conference and Workshops on, 2013, pp. 1-7.
[7] D. Maltoni, D. Maio, A. K. Jain, and S. Prabhakar, Handbook of fingerprint recognition: Springer Science & Business Media, 2009.
[8] N. Paragios and R. Deriche, "Geodesic active contours and level sets for the detection and tracking of moving objects," Pattern Analysis and Machine Intelligence, IEEE Transactions on, vol. 22, pp. 266-280, 2000.
[9] F. Mahmoudi, J. Shanbehzadeh, A.-M. Eftekhari-Moghadam, and H. Soltanian-Zadeh, "Image retrieval based on shape similarity by edge orientation autocorrelogram," Pattern recognition, vol. 36, pp. 1725-1736, 2003.
[10] A. A. Ambardekar, Efficient vehicle tracking and classification for an automated traffic surveillance system: ProQuest, 2007.
[11] G. Bradski, "Kaehler (2008) A Learning OpenCV. O’Reilly Media," ed: Inc.
[12] R. C. Gonzalez, R. E. Woods, and S. L. Eddins, Digital image processing using MATLAB: Pearson Education India, 2004.
[13] R. Guo, Q. Dai, and D. Hoiem, "Single-image shadow detection and removal using paired regions," in Computer Vision and Pattern Recognition (CVPR), 2011 IEEE Conference on, 2011, pp. 2033-2040.
[14] D. Comaniciu and P. Meer, "Mean shift: A robust approach toward feature space analysis," Pattern Analysis and Machine Intelligence, IEEE Transactions on, vol. 24, pp. 603-619, 2002.
[15] J. Gall and V. Lempitsky, "Class-specific hough forests for object detection," in Decision Forests for Computer Vision and Medical Image Analysis, ed: Springer, 2013, pp. 143-157.
[16] S. M. S. T. Akhlaghi Amiri, "A Novel Approach for Human and Computer Machine Communication Based on Image Processing and Developing an Attractive Visual Information System," presented at the Iranian Conference on Electrical Engineering, 2013.
[17] A. Haar, "Zur theorie der orthogonalen funktionensysteme," Mathematische Annalen, vol. 69, pp. 331-371, 1910.
[18] A. Grossman, J. Morlet, and T. Paul, "Transforms associated to square integrable group representations. ii: Examples," in Annales de l'IHP Physique théorique, 1986, pp. 293-309.
[19] S. Mallat, A wavelet tour of signal processing: Academic press, 1999.
[20] I. Daubechies, Ten lectures on wavelets vol. 61: SIAM, 1992.
[21] J. D. Barros, J. J. d. Oliveira Júnior, S. G. d. Silva, and R. F. d. Farias, "Characterization of bone Tissue by microwaves using wavelets and KNN," Journal of Microwaves, Optoelectronics and Electromagnetic Applications, vol. 10, pp. 217-231, 2011.
[22] J. Z. Wang, G. Wiederhold, O. Firschein, and S. X. Wei, "Content-based image indexing and searching using Daubechies' wavelets," International Journal on Digital Libraries, vol. 1, pp. 311-328, 1998.
[23] A. Graps, "An introduction to wavelets," Computational Science & Engineering, IEEE, vol. 2, pp. 50-61, 1995.
[24] M. Heikkila and M. Pietikainen, "A texture-based method for modeling the background and detecting moving objects," IEEE transactions on pattern analysis and machine intelligence, vol. 28, pp. 657-662, 2006.

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