【摘要】：為了提高人體運(yùn)動(dòng)的跟蹤精度,提出基于圖像序列的人體運(yùn)動(dòng)跟蹤算法。首先對(duì)當(dāng)前人體跟蹤算法的研究現(xiàn)狀進(jìn)行分析,指出粒子濾波算法進(jìn)行人體運(yùn)動(dòng)跟蹤的不足;然后對(duì)粒子濾波算法進(jìn)行改進(jìn),增加了采樣粒子多樣化,提高非線性人體運(yùn)動(dòng)目標(biāo)跟蹤性能,加快人體運(yùn)動(dòng)跟蹤速度;最后采用仿真實(shí)驗(yàn)對(duì)人體運(yùn)動(dòng)跟蹤算法的性能進(jìn)行測(cè)試。實(shí)驗(yàn)結(jié)果表明,相對(duì)于其他人體運(yùn)動(dòng)跟蹤算法,該算法提高了人體運(yùn)動(dòng)跟蹤的準(zhǔn)確性,而且人體運(yùn)動(dòng)跟蹤的時(shí)間減少,具有更好的穩(wěn)定性。
[Abstract]:In order to improve the tracking accuracy of human motion, a human motion tracking algorithm based on image sequence is proposed. Firstly, the current research status of human body tracking algorithm is analyzed, and the deficiency of particle filter algorithm in human motion tracking is pointed out. Then the particle filter algorithm is improved to increase the diversity of sampling particles to improve the tracking performance of nonlinear human moving targets and speed up the human motion tracking. Finally the performance of the human motion tracking algorithm is tested by simulation experiments. The experimental results show that compared with other human motion tracking algorithms, the proposed algorithm improves the accuracy of human motion tracking, and the time of human motion tracking is reduced, so it has better stability.
【作者單位】： 樂(lè)山師范學(xué)院;
【基金】：四川省科技廳支撐計(jì)劃項(xiàng)目(2014SZ0107)
【分類號(hào)】：TP391.41;TN713

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