基于混合高斯模型的目标差分自适应背景模型

提出一种自适应背景更新率的方法。在混合高斯背景模型基础上。通过混合高斯匹配将前后两帧分割出的运动目标作差分。差分后再次采用混合高斯匹配分辨出过去目标区和当前目标区。在背景更新的过程中，加大过去目标区的更新率，让运动目标在出现停滞状态时给背景模型带来的干扰区域得到快速恢复。试验结果表明，该方法有效地提高背景模型的鲁棒性。

Objects Subtraction Adaptive Background Modeling Based on Mixture Gaussian Model

Proposes an adaptive background update rate method.Based on Mixture Gaussian background model,through Gaussian match,makes the moving objects separated from the before and after frame and objects subtraction,uses Gaussian match once again to distinguish between the target area in the past and the current target area.When updates the background,increases the refresh rate over the target area,so that the interference area caused by the objects at a standstill situation can be rapidly restored.The experimental...