在直观显示数据时，人类的眼睛在识别复杂的行为、运动轨迹和图案时表现得出奇地好。
The human eye is incredibly good at recognizing complex behavior and spotting trends and patterns in visually displayed data.
与特定运动行为相关的脑电信号特征的提取与识别是脑-机接口研究中的关键之一。
Extraction and recognition of features of brain signal related to special movement behavior is one of the keys of BCI technology.
智能视觉监控需要完成以下任务：运动目标物提取、目标分类、目标跟踪、目标物行为理解和身份识别等。
The tasks intelligent visual surveillance has to complete include: moving object detection, object classification, object tracking, object behavior understanding and identity recognition etc.
本文重点对助行机器人行为识别接口及运动控制系统进行了设计，并将其用于基于模糊控制的助行机器人。
This article will illustrate an interface of robots behavior and a design of on-board motion control system for service robots, which is used in walker aid robotic based on fuzzy logic control.
运动目标检测算法是行人检测与行为识别技术的基础。
The pedestrian detection, shadow removal and behavior recognition have been researched in this paper.
在利用运动跟踪结果实现进一步智能处理的研究中，提出一种基于HMM、对目标运动行为进行统计分析及识别的方法。
In the research on farther intelligent processing based on tracking result, a HMM based method used for statistic, analysis, and identifying the object's motion behavior is proposed.
在利用运动跟踪结果实现进一步智能处理的研究中，提出一种基于HMM、对目标运动行为进行统计分析及识别的方法。
In the research on farther intelligent processing based on tracking result, a HMM based method used for statistic, analysis, and identifying the object's motion behavior is proposed.
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