Person-level action recognition in complex events via TSD-TSM networks

• Main Authors: HAO, Yanbin, LIU, Zi-Niu, ZHANG, Hao, ZHU, Bin, CHEN, Jingjing, JIANG, Yu-Gang, NGO, Chong-wah
• Format: text
• Language: English
• Published: Institutional Knowledge at Singapore Management University 2020
• Subjects: complex events; human action recognition; pedestrian detection; Databases and Information Systems; Graphics and Human Computer Interfaces
• Online Access: https://ink.library.smu.edu.sg/sis_research/6503; https://ink.library.smu.edu.sg/context/sis_research/article/7506/viewcontent/3394171.3416276.pdf
• Institution: Singapore Management University

The task of person-level action recognition in complex events aims to densely detect pedestrians and individually predict their actions from surveillance videos. In this paper, we present a simple yet efficient pipeline for this task, referred to as TSD-TSM networks. Firstly, we adopt the TSD detect...