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戴平阳 高级工程师,公共技术平台

厦门大学 博士 (2014)

研究方向:计算机视觉 模式识别 图像处理

所属部门:实验教学中心

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代表性论文: 

D. Pingyang, L. Kai, X. Yi, and L. Cuihua, Online co-training ranking SVM for visual tracking, in Acoustics, Speech and Signal Processing (ICASSP), 2014 IEEE International Conference on, Florence, Italy, May 4-9, 2014, pp. 6568-6572

D. Pingyang, L. Yanlong, L. Weisheng, L. Cuihua, and X. Yi, Robust visual tracking via part-based sparsity model, in Acoustics, Speech and Signal Processing (ICASSP), 2013 IEEE International Conference on, Vancouver, BC, Canada, May 26-31, 2013, pp. 1803-

Pingyang Dai, Weisheng Liu, Lan Wang, Cuihua Li, Yi Xie, Bag of Features with Dense Sampling for Visual Tracking, Journal of Computational Information Systems, 2013, Vol. 9(20): 8307-8315.

W. Chen, P. Dai*, W. Liu, C. Li, and Y. Xie, Robust Tracking via Hough Forests Based on Weak Classifier Response, in Advances in Multimedia Information Processing – PCM 2013,Nanjing, China, December 13-16,2013, pp. 281-288.

W. Lan, D. Pingyang*, L. Yanlong, L. Cuihua, and X. Yi, "Visual Tracking Based on Compressive Sensing MCMC Sampling," in Systems, Man, and Cybernetics (SMC), 2013 IEEE International Conference on, United Kingdom, October 13-16,2013, pp. 4288-4293.

戴平阳,洪景新,李翠华,詹晓静,一种基于稀疏表示的判别式目标跟踪算法,厦门大学学报(自然科学版) 2014,04:477-483

罗燕龙,刘伟盛,戴平阳*,李翠华.基于局部稀疏表示模型的海上红外目标跟踪方法. 厦门大学学报(自然科学版).2013.3.

刘伟盛,罗燕龙,戴平阳*,李翠华.基于稠密采样的海上红外目标跟踪方法. 厦门大学学报(自然科学版) 2013,06:764-769.

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