원문정보
보안공학연구지원센터(IJHIT)
International Journal of Hybrid Information Technology
Vol.9 No.8
2016.08
pp.433-444
피인용수 : 0건 (자료제공 : 네이버학술정보)
초록
영어
There are many characteristics that can be calculated by the movement of people, such as distance, speed, slope and difference in length or height for each type of the movement. For the purpose of finding the most important of which features and high priority weight in the classification of the movement of people, we have been employed Taguchi method to determine the weight of each characteristic and the extent of their influence and weight in determining the behavior and the type of people movement. In this paper we employ Taguchi method in video tracking application to determine high value of weight for best parameters. We have been relying on the formula Signal to Noise Ratio (S/n) in order to find the most effective characteristic.
목차
Abstract
1. Introduction
2. Related Work
3. Taguchi Methods
4. Orthogonal Array
5. The Quality Loss Function (QLF)
6. The Propose Method to Find Best Parameters
6.1. Features Extraction
6.2. Design Experiment
6.3. Orthogonal Array Appropriate
6.4. Analysis Test (Signal/Noise Ratio (S/N))
7. Optimization (Best Parameters)
8. Conclusion
References
1. Introduction
2. Related Work
3. Taguchi Methods
4. Orthogonal Array
5. The Quality Loss Function (QLF)
6. The Propose Method to Find Best Parameters
6.1. Features Extraction
6.2. Design Experiment
6.3. Orthogonal Array Appropriate
6.4. Analysis Test (Signal/Noise Ratio (S/N))
7. Optimization (Best Parameters)
8. Conclusion
References
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