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| Content Provider | IEEE Xplore Digital Library |
|---|---|
| Author | Chunli Lin Shuxiang Guo Kejun Wang Yu Xia Wansheng Cheng |
| Copyright Year | 2010 |
| Description | Author affiliation: The School of the Higher Vocational Education, University of Science and Technology Liaoning, Anshan 114051 ,China (Yu Xia; Wansheng Cheng) || College of Automation, Harbin Engineering University, Heilongjiang 150001, China (Chunli Lin; Shuxiang Guo; Kejun Wang) |
| Abstract | A foreground extraction algorithm based on background subtraction and edge detection was proposed to obtain the foreground with a little change. An action classification method based on Enhanced Gait Energy Image (EGEI) and Locality Preserving Projections (LPP) was used. The high dimensional feature space was non-linearly reduced to lower dimensional space, which outperformed PCA and 2DPCA. The nearest-neighbor classifier was adopted to distinguish different actions. This algorithm needn't extract the period of the video, which was indispensable in some other methods. Experimental results show that the algorithm is simple, and achieves higher classification accuracy with less running time. |
| Starting Page | 1784 |
| Ending Page | 1788 |
| File Size | 231572 |
| Page Count | 5 |
| File Format | |
| ISBN | 9781424457014 |
| e-ISBN | 9781424457045 |
| DOI | 10.1109/ICINFA.2010.5512209 |
| Language | English |
| Publisher | Institute of Electrical and Electronics Engineers, Inc. (IEEE) |
| Publisher Date | 2010-06-20 |
| Publisher Place | China |
| Access Restriction | Subscribed |
| Rights Holder | Institute of Electrical and Electronics Engineers, Inc. (IEEE) |
| Subject Keyword | Computer vision Image recognition Automation Change detection algorithms Image edge detection Humans locality preserving projections (LPP) Classification algorithms Data mining manifold learning Enhanced Gait Energy Image (EGEI) action recognition Feature extraction Principal component analysis intelligent supervision |
| Content Type | Text |
| Resource Type | Article |
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