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Conference Paper
Behavior Recognition of a Person in a Daily Video Using Joint Position Information
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- Authors
- Jeong-Min Seo, Haanju Yoo, Kimin Yun, Hyunil Kim, Sang-Il Choi
- Issue Date
- 2018-09
- Citation
- Artificial Intelligence and Knowledge Engineering (AIKE) 2018: Workshops, pp.172-174
- Publisher
- IEEE
- Language
- English
- Type
- Conference Paper
- Abstract
- In this paper, we propose a method to recognize people's specific behaviors in images acquired in everyday life. The poses that occur when taking a specific action are represented using the joint coordinates of the body. To reduce the influence of the perspective effect on the locations in an image, the coordinates of joints for each person were normalized and the pose was classified using SVM with the normalized coordinates. Experimental results on video images of CCTV camera on ordinary alleys showed that the proposed method relatively recognized a specific behavior.
- KSP Keywords
- CCTV Camera, Joint Coordinates, Joint position, Position information, Video image, behavior recognition, everyday life, perspective effect, recognize people, the body