To memorize both feature and spatiotemporal information of moving objects is a critical human activity.
记忆动态场景中多客体的特征和时空信息是人类重要的认知活动。
The feature is an essential element that comprises spatiotemporal data information and the event is a fundamental factor that result in changing spatiotemporal data.
地理特征对象是时空数据组织的基本单元，而事件是导致时空数据发生变化的根本原因。
During contour evolution, the particle filter (PF) is used to track the feature points by enforcing spatiotemporal local constraints to handle the observation noise.
为避免观测噪声的影响，增加轮廓的时空局部约束并利用粒子滤波(PF)技术解决该类跟踪问题是非常有效的。
The spatiotemporal dynamics of the spiral structure is measured for the luminous feature.
利用系统本身发光的特点，测量了螺旋波结构的时空动力学；
A video object watermark algorithm using Scale-Invariant feature Transform (SIFT) features and video segmentation based on spatiotemporal information is proposed.
提出一种结合尺度不变特征变换(SIFT)特征点校正和时空域视频对象分割的视频对象水印算法。
A video object watermark algorithm using Scale-Invariant feature Transform (SIFT) features and video segmentation based on spatiotemporal information is proposed.
提出一种结合尺度不变特征变换(SIFT)特征点校正和时空域视频对象分割的视频对象水印算法。
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