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To solve the problem that the accurate information of hand cannot be obtained by particle filter, a hand tracking algorithm based on particle filter combined with skin-color adaptive gradient vector flow (GVF) snake model is proposed. Adaptive GVF and skin color adaptive external guidance force are introduced to the traditional GVF snake model, guiding the curve to quickly converge to the deep concave region of hand contour and obtaining the complex hand contour accurately. This algorithm realizes a real-time correction of the particle filter parameters, avoiding the particle drift phenomenon. Experimental results show that the proposed algorithm can reduce the root mean square error of the hand tracking by 53%, and improve the accuracy of hand tracking in the case of complex and moving background, even with a large range of occlusion. This work has been supported by the National Natural Sciencal Foundation of China (No.61403274), and the Tianjin Technology Project of Intelligent Manufacturing (No.15ZXZNGX00160). E-mail:agwu@tju.edu.cn 相似文献
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软电介质薄膜因模量低、可大变形、适应性强等特点,被广泛应用于电气和电子系统中。但由于材料的介电常数较低,通常需要在较高的电场环境下服役。在高电场环境下,软电介质薄膜易产生失稳和电击穿破坏,影响着材料的应用范围和稳定性。本研究针对电极对软电介质薄膜有无约束两种情况对此类器件的稳定性展开了研究:首先定量描述了电极对电介质无约束时,电压加卸载过程中失稳形貌的演化规律;其次讨论了例如氯化锂水凝胶等软电极对薄膜力电失稳的抑制,并利用化学黏接的方式增强水凝胶电极对电介质薄膜的约束,提升了电介质薄膜的临界击穿场强。 相似文献
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