Human-Object Interaction Recognition Based on Modeling Context

作     者：Shuyang Li Wei Liang Qun Zhang 

作者机构：School of Computer Science and Technology Beijing Institute of Technology Beijing 100081 China 

出 版 物：《Journal of Beijing Institute of Technology》 (北京理工大学学报（英文版）)

年 卷 期：2017年第26卷第2期

页      面：215-222页

核心收录：

学科分类：08[工学] 080203[工学-机械设计及理论] 0802[工学-机械工程] 

主　　题：human-object interaction action recognition object recognition modeling context 

摘      要：This paper proposes a method to recognize human-object interactions by modeling context between human actions and interacted ***-object interaction recognition is a challenging task due to severe occlusion between human and objects during the interacting *** that human actions and interacted objects provide strong context information,*** actions are usually related to some specific objects,the accuracy of recognition is significantly improved for both of *** the proposed method,both global and local temporal features from skeleton sequences are extracted to model human *** the meantime,kernel features are utilized to describe interacted ***,all possible solutions from actions and objects are optimized by modeling the context between *** results of experiments demonstrate the effectiveness of our method.