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1篇 您的检索式：作者名="Shinfeng D.Lin"

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		题名	作者	年代	出处	被引量
	1	Object Tracking Using a Particle Filter with SURF Feature显示文摘In this paper, a novel object tracking based on a particle filter and speeded up robust feature(SURF) is proposed, which uses both color and SURF features. The SURF feature makes the tracking result more robust. On the other hand, the particle selection can lead to save time. In addition, we also consider the matched particle applicable to calculating the SURF weight. Owing to the color, spatial, and SURF features being adopted, this method is more robust than the traditional color-based appearance model. Experimental results demonstrate the robustness and accurate tracking results with challenging sequences.Besides, the proposed method outperforms other methods during the intersection of similar color and object's partial occlusion.	Shinfeng D.Lin Yu-Ting Jiang Jia-Jen Lin	2014	Journal of Electronic Science and Technology2014，12，3：	1

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