scholarly journals Human Behavior Recognition Method based on Image Sequences

2016 ◽  
Vol 9 (2) ◽  
pp. 189-202
Author(s):  
Yanhua Chen
Keyword(s):  
Human Behavior ◽  
Image Sequences ◽  
Recognition Method ◽  
Behavior Recognition ◽  
Human Behavior Recognition

Human Behavior Recognition Based on Motion Decomposition

2014 ◽  
Vol 945-949 ◽  
pp. 1780-1783
Author(s):  
Shao Ping Zhu ◽  
Yu Hua Chen
Keyword(s):  
Image Processing ◽  
Human Behavior ◽  
Video Sequence ◽  
Image Sequences ◽  
Research Field ◽  
Interest Points ◽  
Behavior Recognition ◽  
Novel Method ◽  
Active Research ◽  
Human Behavior Recognition

Human behavior recognition is an active research field in computer vision and image processing. A novel method is proposed for human behavior recognition in video image sequences. First of all, a video sequence is represented by extracting space-time interest points. Then Human behavior is represented by activities through Motion Decomposition. The activity comprises labeled bags that are composed of unlabeled instances comprising to action. Final labeled activities are used to train a strong classifier which is used to predict the labels of unseen behavior bags. Experimental results show the effectiveness of the proposed method in comparison with other related works in the literature and can also tolerate noise and interference conditions.

A hierarchical bagging-SVM human behavior recognition method

2021 ◽  
Author(s):  
Yulong Liang ◽  
Xiaochao Dang ◽  
Zhanjun Hao
Keyword(s):  
Human Behavior ◽  
Recognition Method ◽  
Behavior Recognition ◽  
Human Behavior Recognition

Human Behavior Recognition Method Based on WiFi Channel Status Information

2021 ◽  
Author(s):  
Yangyang Zhou ◽  
Zhe Cui ◽  
Xiao Lu ◽  
Haixia Wang ◽  
Chunyang Sheng ◽  
...  
Keyword(s):  
Human Behavior ◽  
Recognition Method ◽  
Behavior Recognition ◽  
Status Information ◽  
Human Behavior Recognition
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