التفاصيل البيبلوغرافية
| العنوان: |
Human Behavior Analysis Based on a New Motion Descriptor. |
| المؤلفون: |
Huang, Kaiqi1 kqhuang@nlpr.ia.ac.cn, Wang, Shiquan1 sqwang@nlpr.ia.ac.cn, Tan, Tieniu1 tnt@nlpr.ia.ac.cn, Maybank, Stephen J.2 sjmaybank@dcs.bbk.ac.uk |
| المصدر: |
IEEE Transactions on Circuits & Systems for Video Technology. Dec2009, Vol. 19 Issue 12, p1830-1840. 11p. 4 Black and White Photographs, 7 Charts. |
| مصطلحات موضوعية: |
*HUMAN behavior, *COMPUTER vision, *HUMAN-computer interaction, *ROBUST control |
| مصطلحات جغرافية: |
BEIJING (China), CHINA |
| الشركة/الكيان: |
CHINESE Academy of Sciences (Beijing, China) |
| مستخلص: |
Human behavior analysis is an important area of research in computer vision and is also driven by a wide spectrum of applications, such as smart video surveillance and human-computer interface. In this paper, we present a novel approach for human behavior analysis. Two research challenges, motion representation and behavior recognition, are addressed. A novel motion descriptor, which is an improved feature based on optical flow, is proposed for motion representation. Optical flow is improved with a motion filter, and feature fusion with the shape and trajectory information. To recognize the behavior, the support vector machine is employed to train the classifier where the concatenation of histograms is formed as the input features. Experimental results on the Weizmann behavior database and the Institute of Automation, Chinese Academy of Science real- world multiview behavior database demonstrate the robustness and effectiveness of our method. [ABSTRACT FROM AUTHOR] |
| قاعدة البيانات: |
Academic Search Index |
