An improved space-based algorithm for recognizing vehicle models from the side view

Qian Wang; Youdong Ding; Li Zhang; Rong Li; Jiang Zhu; Zhifeng Xie

doi:10.1117/12.2228216

9 December 2015 An improved space-based algorithm for recognizing vehicle models from the side view

Qian Wang, Youdong Ding, Li Zhang, Rong Li, Jiang Zhu, Zhifeng Xie

Proceedings Volume 9817, Seventh International Conference on Graphic and Image Processing (ICGIP 2015); 98170P (2015) https://doi.org/10.1117/12.2228216
Event: Seventh International Conference on Graphic and Image Processing, 2015, Singapore, Singapore

Abstract

Vehicle model matching problem from the side view is a problem meets the practical needs of actual users, but less focus by researchers. We propose a improved feature space-based algorithm for this problem. The algorithm combines the various advantages of some classic algorithms, and effectively combining global and local feature, eliminate data redundancy and improve data divisibility. And finally complete the classification by quick and efficient KNN. The real scene test results show that the proposed method is robust, accurate, insensitive to external factors, adaptable to large angle deviations, and can be applied to a formal application.

Citation Download Citation

Qian Wang, Youdong Ding, Li Zhang, Rong Li, Jiang Zhu, and Zhifeng Xie "An improved space-based algorithm for recognizing vehicle models from the side view", Proc. SPIE 9817, Seventh International Conference on Graphic and Image Processing (ICGIP 2015), 98170P (9 December 2015); https://doi.org/10.1117/12.2228216

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KEYWORDS

Principal component analysis

Feature extraction

Image processing

Image quality

Image compression

Image resolution

Video

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