DocumentCode
578315
Title
Will scene information help realistic action recognition?
Author
Chen, Xian-gan ; Liu, Juan ; Liu, Haihua
Author_Institution
Sch. of Comput., Wuhan Univ., Wuhan, China
fYear
2012
fDate
6-8 July 2012
Firstpage
4532
Lastpage
4535
Abstract
The question of scene information whether can help realistic action recognition has been investigated in this paper. The salience region of each frame in video was acquired by using Itti-Koch algorithm. The information outside the salience region represented scene information. Two action recognition methods were tested on the YouTube action dataset. One method got rid of partial scene information, while the other contained scene information. The obtained impressive results showed that scene information can help realistic action recognition.
Keywords
image recognition; image representation; natural scenes; social networking (online); video signal processing; Itti-Koch algorithm; YouTube action dataset; realistic action recognition; salience region; scene information representation; video frame; Data mining; Feature extraction; Histograms; Humans; Image edge detection; Visualization; YouTube; AEI; HOG; SVM; action recognition; saliency map;
fLanguage
English
Publisher
ieee
Conference_Titel
Intelligent Control and Automation (WCICA), 2012 10th World Congress on
Conference_Location
Beijing
Print_ISBN
978-1-4673-1397-1
Type
conf
DOI
10.1109/WCICA.2012.6359337
Filename
6359337
Link To Document