本文選題：排球運動員 + 運動軌跡��； 參考：《計算機仿真》2017年02期

【摘要】：對于排球運動員手臂運動軌跡的優(yōu)化研究可以有效提高運動員在比賽中扣球質(zhì)量。進行揮臂動作軌跡的優(yōu)化時需要進行動態(tài)手臂跟蹤,將具有三維空間特征的運動軌跡轉(zhuǎn)化為一維的運動軌跡。傳統(tǒng)方法則忽略了該轉(zhuǎn)化過程,直接對三維空間軌跡進行分析,導(dǎo)致軌跡優(yōu)化過程復(fù)雜且優(yōu)化效果不好。提出基于混沌理論的排球運動員手臂運動軌跡優(yōu)化識別方法。以背景差分原理為依據(jù)檢測運動員運動軌跡,利用顏色直方圖的粒子濾波進行動態(tài)手臂跟蹤,融合于混沌理論進行運動員手臂運動軌跡的相空間重構(gòu),從重構(gòu)的相空間提取代表運動員手臂運動軌跡的混沌不變量,并將具有三維空間特征的手臂運動軌跡轉(zhuǎn)化為一維的手臂運動軌跡,并完成了對排球運動員手臂運動軌跡優(yōu)化識別。仿真結(jié)果表明,所提方法識別精確度高,為提升排球運動員扣球技術(shù)提供了有力的科學依據(jù)。
[Abstract]:The research on the optimal trajectory of volleyball players' arm movement can improve the quality of spiking effectively. In order to optimize the trajectory of swinging arm, the dynamic arm tracking is needed, and the three-dimension motion trajectory is transformed into one-dimensional motion track. The traditional method ignores the transformation process and analyzes the three-dimensional space trajectory directly, which leads to the complexity of the trajectory optimization process and the poor optimization effect. Based on chaos theory, an optimal identification method for the trajectory of volleyball players' arm motion is proposed. Based on the background difference principle, the athlete's motion trajectory is detected, and the dynamic arm tracking is carried out by using the particle filter of the color histogram, and the phase space reconstruction of the athlete's arm motion trajectory is carried out by integrating the chaos theory. The chaotic invariants representing the trajectory of the athlete's arm are extracted from the reconstructed phase space, and the three-dimension motion trajectory of the arm is transformed into the one-dimensional trajectory of the arm motion. And completed the volleyball player arm movement track optimization recognition. The simulation results show that the proposed method has high recognition accuracy and provides a powerful scientific basis for improving volleyball players' spiking technology.
【作者單位】： 北京體育大學研究生院;成都體育學院;北京體育大學教育學院;
【分類號】：G842

【參考文獻】

相關(guān)期刊論文 前10條

1 趙衛(wèi)峰;黃l，

本文編號：2033961