1) moving persons'behaviors'recognition
运动个体行为识别
2) Motion Activity Recognition
运动行为识别
1.
Motion Activity Recognition Based on Abstract Hidden Markov Model
基于抽象隐马尔可夫模型的运动行为识别方法
3) human behavior recognition
人体行为识别
1.
At present, human behavior recognition is the most active research topic in com-puter smart visual surveillance, and its core is the use of computer vision technologyfrom the video detection, people tracking and identification of its conduct, it has broadapplication prospects in virtual reality, visual surveillance, perceptual interface areas.
当前,人体行为识别是计算机智能视觉监控领域中最活跃的研究主题之一,其核心是利用计算机视觉技术从视频中检测、跟踪人并对其行为进行识别。
5) activity recognition
行为识别
1.
Hierarchical multi-observation model for multi-person activity recognition
基于阶层多观测模型的多人行为识别
2.
Human action understanding is generally divided into three fundamental sub-processes:feature extraction and motion representation,activity recognition and higher level activity and scene understanding.
行为理解问题一般遵从如下基本过程:特征提取与运动表征;行为识别;高层行为与场景理解。
3.
An activity recognition method of multiple view angles from monocular videos was introduced.
针对多视角人体行为识别中,因选取单一特征所造成的识别困难,提出了一种基于分类特征提取的多视角行为识别方法。
6) behavior recognition
行为识别
1.
Spam behavior recognition based on data mining in session layer;
基于网络会话层的垃圾邮件行为识别
2.
Research on Key Technology of Spam Behavior Recognition Based on Data Mining Technology;
基于数据挖掘的垃圾邮件行为识别关键技术研究
3.
Behavior Recognition Method Based on Multi-camera Information Integration
基于多镜头的视频行为识别方法
补充资料：个体行为
个体行为：集体协作活动或组织生活中个体的基本方面、最基本的要素，是组织管理必须把握的对象。
说明：补充资料仅用于学习参考，请勿用于其它任何用途。
参考词条