A fast voting-based technique for human action recognition in video sequences

Human action recognition has been an active research area in recent years. However, building a robust human action recognition system still remains a challenging task due to the large variations in action classes, varying human appearances, illumination changes, camera motion, occlusions and backgro...

Full description

Saved in:
Bibliographic Details
Main Authors: Goh, Wooi-Boon, Tran, Duc-Hieu
Other Authors: School of Computer Engineering
Format: Conference or Workshop Item
Language:English
Published: 2015
Subjects:
Online Access:https://hdl.handle.net/10356/106629
http://hdl.handle.net/10220/25061
Tags: Add Tag
No Tags, Be the first to tag this record!
Institution: Nanyang Technological University
Language: English
Description
Summary:Human action recognition has been an active research area in recent years. However, building a robust human action recognition system still remains a challenging task due to the large variations in action classes, varying human appearances, illumination changes, camera motion, occlusions and background clutter. Most previous work focus on the goal of improving recognition rates. This paper describes a computationally fast votingbased approach for human action recognition, in which the action in the video sequence is recognized based on the support of the local spatio-temporal features. The proposed technique requires no parameter tuning and can produce recognition rates that are comparable to those in recent published literature. Moreover, the technique can localize the single human action in the video sequence without much additional computation. Recognition results on the KTH and Weizmann action dataset are presented.