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            期刊論文

            Application of the Improved particle Filter Algorithm to 3D Motion Analysis

            鄧輝舫 , Huifang DENG , Fengzhe CHEN

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            摘要/描述

            3D human motion analysis system is gaining more and more popularity and importance in sports training, game simulation and many other areas. Particle filter algorithm, as a powerful optimized method, can be applied to 3D human motion analysis system with more accurate results delivered and assured. An improved (hybrid) particle filter algorithm (IPFA) is proposed in this paper which integrates the advantages of partitioned particle filter algorithm (PPFA) with annealed particle filter algorithm (APFA). The results show that, the hybrid algorithm (IPFA) gives rise to more accurate results with less computational time consumed, compared to PPFA and APFA, and improves tracking efficiency and accuracy of 3D human motion substantially.

            【免責聲明】以下全部內容由[鄧輝舫]上傳于[2009年06月09日 17時18分37秒],版權歸原創者所有。本文僅代表作者本人觀點,與本網站無關。本網站對文中陳述、觀點判斷保持中立,不對所包含內容的準確性、可靠性或完整性提供任何明示或暗示的保證。請讀者僅作參考,并請自行承擔全部責任。

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