Will Scene Information Help Realistic Action Recognition?

被引：0
|
作者：
Chen, Xian-gan [1 ,2 ]
Liu, Juan [1 ]
Liu, Haihua [2 ]
机构：
[1] Wuhan Univ, Sch Comp, Wuhan, Peoples R China
[2] South Cent Univ Nationalities, Coll Biomed Engn, Wuhan, Peoples R China
来源：
PROCEEDINGS OF THE 10TH WORLD CONGRESS ON INTELLIGENT CONTROL AND AUTOMATION (WCICA 2012) | 2012年
关键词：
action recognition; saliency map; AEI; HOG; SVM;
D O I：
暂无
中图分类号：
TP [自动化技术、计算机技术];
学科分类号：
0812 ;
摘要：
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.
引用
收藏
页码：4538 / 4541
页数：4
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