• Corpus ID: 212528859

Video-based multiclass vehicle detection and tracking

@inproceedings{Qian2013VideobasedMV,
  title={Video-based multiclass vehicle detection and tracking},
  author={Zhiming Qian and Hongxing Shi and Jiakuan Yang and Lianxin Duan Chuxiong},
  year={2013}
}
This paper presents a real time multiclass vehicle detection and tracking system. The system uses a combination of machine learning and feature analysis to detect and track the vehicles on the road. Multiclass SVM and PCA methods are utilized to create multiclass training samples. The online classifiers are trained using these samples to achieve detection and classification of vehicles in video sequences of traffic scenes. The detection results provide the system used for tracking. Each class… 

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