Action Recognition Using HOG Feature in Different Resolution Video Sequences

Author

Huang, Yuanyuan ; Yang, Haomiao ; Huang, Ping

Author_Institution

Sch. of Comput. Sci. & Eng., Univ. of Electron. Sci. & Technol. of China, Chengdu, China

fYear

2012

Firstpage

85

Lastpage

88

Abstract

This paper summarizes the recent development of action recognition at first. Then based on Hierarchical Filtered Motion model and Nearest Neighbor classifier, we do action recognition using HOG feature in video sequences of different resolutions. Here we use KTH dataset for training and MSR action dataset II for testing. The experiment demonstrates that the new feature extraction process is effective and has better performance in the cross-dataset action recognition.

Keywords

feature extraction; image recognition; image resolution; image sequences; video databases; video signal processing; HOG feature; KTH dataset; MSR action dataset II; cross-dataset action recognition; feature extraction process; hierarchical filtered motion model; nearest neighbor classifier; resolution video sequences; Computer vision; Feature extraction; History; Humans; Spatial resolution; Testing; Video sequences; HOG; Motion History Image; action recognition;

fLanguage

English

Publisher

ieee

Conference_Titel

Computer Distributed Control and Intelligent Environmental Monitoring (CDCIEM), 2012 International Conference on

Conference_Location

Hunan

Print_ISBN

978-1-4673-0458-0

Type

conf

DOI

10.1109/CDCIEM.2012.27

Filename

6178455