Multi-View Vehicle Recognition Based on WRT-SVM

Abstract:

Proposed an approach to identify vehicles considering the variation in image size, illumination, and view angles under different cameras using Support Vector Machine with weighted random trees (WRT-SVM). With quantizing the scale-invariant features of image pairs by the weighted random trees, the identification problem is formulated as a same-different classification problem. Results show the efficiency of building the randomized tree due to the weights of the samples and the control of the false-positive rate of the identify system.

• Periodical: Advanced Materials Research (Volumes 694-697)
• Pages: 1987-1992
• DOI: https://doi.org/10.4028/www.scientific.net/AMR.694-697.1987
• Online since: May 2013
• Authors: Xing Gang Wu, Cong Guo
• Keywords: Scale Invariant Feature Transformation, Support Vector Machine (SVM), Vehicle Recognition, Weighted Random Trees

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