Multi-task Information Bottleneck Co-clustering for Unsupervised Cross-view Human Action Categorization

2020 ◽  
Vol 14 (2) ◽  
pp. 1-23 ◽  
Author(s):  
Xiaoqiang Yan ◽  
Zhengzheng Lou ◽  
Shizhe Hu ◽  
Yangdong Ye
Keyword(s):  
Human Action ◽  
Information Bottleneck ◽  
Action Categorization

Human Action Categorization Using Ultrasound Micro-Doppler Signatures

2011 ◽  
pp. 18-28 ◽  
Author(s):  
Salvador Dura-Bernal ◽  
Guillaume Garreau ◽  
Charalambos Andreou ◽  
Andreas Andreou ◽  
Julius Georgiou ◽  
...  
Keyword(s):  
Human Action ◽  
Action Categorization

Discriminative Action Recognition Using Supervised Latent Topic Model

2012 ◽  
Vol 190-191 ◽  
pp. 1125-1128
Author(s):  
Huan Xin Zou ◽  
Hao Sun ◽  
Ke Feng Ji
Keyword(s):  
Action Recognition ◽  
Latent Dirichlet Allocation ◽  
Topic Model ◽  
Human Action Recognition ◽  
Human Action ◽  
Video Sequences ◽  
Discriminative Learning ◽  
Action Categorization ◽  
Latent Topic ◽  
Topic Structure

We present a discriminative learning method for human action recognition from video sequences. Our model combines a bag-of-words component with supervised latent topic models. The supervised latent Dirichlet allocation (sLDA) topic model, which employs discriminative learning using labeled data under a generative framework, is introduced to discover the latent topic structure which is most relevant to action categorization. We test our algorithm on two challenging datasets. Experimental results demonstrate the effectiveness of our algorithm.

A Matrix-Based Approach to Unsupervised Human Action Categorization

2012 ◽  
Vol 14 (1) ◽  
pp. 102-110 ◽  
Author(s):  
Peng Cui ◽  
Fei Wang ◽  
Li-Feng Sun ◽  
Jian-Wei Zhang ◽  
Shi-Qiang Yang
Keyword(s):  
Human Action ◽  
Action Categorization
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