Human action recognition in unconstrained videos by explicit motion modeling

• Main Authors: JIANG, Yu-Gang, DAI, Qi, LIU, Wei, XUE, Xiangyang, NGO, Chong-wah
• Format: text
• Language: English
• Published: Institutional Knowledge at Singapore Management University 2015
• Subjects: Human action recognition; trajectory; motion; representation; reference points; camera motion; Computer Sciences; Graphics and Human Computer Interfaces
• Online Access: https://ink.library.smu.edu.sg/sis_research/6357; https://ink.library.smu.edu.sg/context/sis_research/article/7360/viewcontent/10.1.1.718.4553.pdf
• Institution: Singapore Management University

Human action recognition in unconstrained videos is a challenging problem with many applications. Most state-of-the-art approaches adopted the well-known bag-of-features representations, generated based on isolated local patches or patch trajectories, where motion patterns, such as object-object and...