A Novel Vehicle Type Recognition Based on Hierarchical Matching

Zhong Xing Zhang; Tao Li; Tao Xiang; Min Juan Liu

doi:10.4028/www.scientific.net/AMM.602-605.2387

Paper Titles

Research on Rolling Bearing Fault Monitoring System Based on LabVIEW
p.2370

Monitor Design of Hydraulic Experimental System for Electric Submersible Pump
p.2375

Potential of Photoionization Detector for Organic Compounds Analysis at a Brownfield Site Investigation
p.2379

RBF Neural Network Model Training by Unscented Kalman Filter and its Application in Mechanical Fault Diagnosis
p.2383

A Novel Vehicle Type Recognition Based on Hierarchical Matching
p.2387

Application of Factor Analysis in Measurement and Assessment of Corporate Governance System
p.2391

Spectrophotometric Method in the Determination of Aminophylline Content
p.2395

A Near-Infrared Starry Image Stars Identifying Method Based on Star Magnitude Differ and Star Point Pairs
p.2399

Gear Fault Diagnosis Based on Continuous Wavelet Spectrum Slice
p.2403

HomeApplied Mechanics and MaterialsApplied Mechanics and Materials Vols. 602-605A Novel Vehicle Type Recognition Based on...

A Novel Vehicle Type Recognition Based on Hierarchical Matching

Abstract:

A novel method of vehicle type recognition based on template matching is proposed to improve the real-time performance of the vehicle type recognition in real traffic scenes. GRM is applied and the template is normalized for realizing parallel template matching. Then, we realize the rapid vehicle type recognition through lookup tables by the hierarchical index of vehicle type template with k-means clustering and size normalization processing. The results show that the algorithm can recognize vehicle type in traffic scenes efficiently.

You might also be interested in these eBooks

View Preview

Info:

Periodical:

Applied Mechanics and Materials (Volumes 602-605)

Pages:

2387-2390

DOI:

https://doi.org/10.4028/www.scientific.net/AMM.602-605.2387

Citation:

Cite this paper

Online since:

August 2014

Authors:

Zhong Xing Zhang*, Tao Li, Tao Xiang, Min Juan Liu

Keywords:

Cosine Similarity, Gradient Response Maps, Hierarchical Matching, Vehicle Type Recognition

Export:

RIS, BibTeX

Price:

Permissions CCC:

Request Permissions

Permissions PLS:

Request Permissions

Сopyright:

Citation:

* - Corresponding Author

References

[1] J. Li, W. Zhao, H. Guo: Vehicle Type Recognition Based on Harris Corner Detector. International Conference on Transportation Engineering, ASCE(2009).

DOI: 10.1061/41039(345)547

Google Scholar

[2] X. Clady, P. Negrl, M. Milgram: Multi-class vehicle type recognition system (Springer Berlin Heidelberg, 2008).

Google Scholar

[3] A. Psyllos C.N. Anagnostopooulos,E. Kayafas: submitted to Journal of Computer Standards & Interfaces (2011).

Google Scholar

[4] T. Kato,Y. Ninomiya,I. Masaki: submitted to Journal of Intelligent Transportation Systems (2002).

Google Scholar

[5] S. Hintertoisser, C. Cagniart,S. ilic submitted to Journal of Pattern Analysis and Machine Intelligence (2012).

Google Scholar