【摘要】 提出了一种基于判别随机场模型的联机行为识别方法,将传统的随机场模型和隐藏条件随机场模型的特点相结合,构建一个针对于运动序列帧数据建模的帧-隐藏条件随机场模型,并将该模型应用于数据驱动的行为建模,利用传统条件随机场模型对行为间的运动特性进行建模;通过引入隐藏特征函数,设计有效的特征模板来表示行为中子姿态的联系,实现对行为的内在运动特性进行建模.通过对比实验表明,该模型对于联机处理行为序列具有更强的识别能力.更多还原

【Abstract】 This paper proposes an online behavior recognition based on Discriminative Random Fields.In this model,by incorporating CRF and HCRF,a Frame-HCRF was extended to model behaviors for frames of motion data.The motion intrinsic dynamics are captured by CRF structure as well as extrinsic dynamics between different behaviors by hidden feature functions.This model can accommodate motion data online processing with unknown future frames.The experiments show that the proposed model perform over than HMM,CRF and HCRF for human behavior modeling and recognition.更多还原