TIIS (한국인터넷정보학회)
Current Result Document :
| 한글제목(Korean Title) |
Real-Time Tracking of Human Location and Motion using Cameras in a Ubiquitous Smart Home |
| 영문제목(English Title) |
Real-Time Tracking of Human Location and Motion using Cameras in a Ubiquitous Smart Home |
| 저자(Author) |
Dong-Kyoo Shin
Dong-Il Shin
Quoc Cuong Nguyen
S
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| 원문수록처(Citation) |
VOL 03 NO. 01 PP. 0084 ~ 0095 (2009. 02) |
한글내용
(Korean Abstract) |
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영문내용
(English Abstract) |
The ubiquitous smart home is the home of the future, which exploits context information from both the human and the home environment, providing an automatic home service for the human. Human location and motion are the most important contexts in the ubiquitous smart home. In this paper, we present a real-time human tracker that predicts human location and motion for the ubiquitous smart home. The system uses four network cameras for real-time human tracking. This paper explains the architecture of the real-time human tracker, and proposes an algorithm for predicting human location and motion. To detect human location, three kinds of images are used: IMAGE1 - empty room image, IMAGE2 - image of furniture and home appliances, IMAGE3 - image of IMAGE2 and the human. The real-time human tracker decides which specific furniture or home appliance the human is associated with, via analysis of three images, and predicts human motion using a support vector machine (SVM). The performance experiment of the human's location, which uses three images, lasted an average of 0.037 seconds. The SVM feature of human motion recognition is decided from the pixel number by the array line of the moving object. We evaluated each motion 1,000 times. The average accuracy of all types of motion was 86.5%. |
| 키워드(Keyword) |
Real-time human tracker
smart home
ubiquitous computing
pattern recognition
support vector machine
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| 파일첨부 |
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