基于投影估计子空间跟踪算法提出了一种新的可用于时变结构模态参数识别的递推子空间方法。
A novel recursive subspace method is presented for pseudo-modal parameter identification of time-varying structures based on projection approximation subspace tracking algorithm.
提出了一种全自动、多模态的信息融合解决方案用于配准视频图像和磁跟踪数据。
The paper reports a fully-automated, multiple-modality sensor data registration scheme between video and magnetic tracker data.
使用了单模态背景模型，用连通检测的方法分割出目标，取得目标信息，采用特征参数匹配的方法跟踪目标。
The information of targets is obtained using a single-mode model and connected component analysis. Target matching method is adopted in target tracking.
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