A comprehensive survey of human action recognition with spatio-temporal interest point (STIP) detector |
| |
Authors: | Debapratim Das Dawn Soharab Hossain Shaikh |
| |
Affiliation: | 1.University of Calcutta,Kolkata,India;2.Faculty Member,University of Calcutta,Kolkata,India |
| |
Abstract: | Over the past two decades, human action recognition from video has been an important area of research in computer vision. Its applications include surveillance systems, human–computer interactions and various real-world applications where one of the actor is a human being. A number of review works have been done by several researchers in the context of human action recognition. However, it is found that there is a gap in literature when it comes to methodologies of STIP-based detector for human action recognition. This paper presents a comprehensive review on STIP-based methods for human action recognition. STIP-based detectors are robust in detecting interest points from video in spatio-temporal domain. This paper also summarizes related public datasets useful for comparing performances of various techniques. |
| |
Keywords: | |
本文献已被 SpringerLink 等数据库收录! |
|