Stage Actor Tracking Method Based on Kalman Filter

Chao Lv, Jun Yin, Yuntian Gao
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Abstract

Aiming at the problem that the traditional tracking algorithm could not accurately track the characters in the stage lighting environment, an improved method using Kalman filter is proposed. In the traditional background subtraction method based on hybrid Gaussian model, Kalman filter is introduced to establish the data structure of the tracking target, and the filtering prediction position and the detection position are matched to solve the problem of error detection area under the light interference. The experimental results show that the method has a good effect on the tracking of characters in the environment of stage lighting.
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基于卡尔曼滤波的舞台演员跟踪方法
针对传统跟踪算法不能准确跟踪舞台灯光环境中人物的问题,提出了一种利用卡尔曼滤波的改进方法。传统的基于混合高斯模型的背景相减方法中,引入卡尔曼滤波建立跟踪目标的数据结构,并将滤波预测位置与检测位置进行匹配,解决了光干扰下误差检测区域的问题。实验结果表明,该方法对舞台灯光环境下的人物跟踪具有良好的效果。
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