Abstract
A video tracking system raises a wide range of possibilities in today's society, particularly in security, monitoring, and robotics. The most important research in tracking systems is to discover and develop an available method and algorithm for tracking an object's motion. The objective of this paper is to propose a new method that combines a prediction method and particle filter to manage problems in a wide area of observation. The comparative study of the method is provided and its capabilities are evaluated.
| Original language | English |
|---|---|
| Title of host publication | 2010 World Automation Congress, WAC 2010 |
| Publication status | Published - 2010 |
| Event | 2010 World Automation Congress, WAC 2010 - Kobe Duration: 2010 Sep 19 → 2010 Sep 23 |
Other
| Other | 2010 World Automation Congress, WAC 2010 |
|---|---|
| City | Kobe |
| Period | 10/9/19 → 10/9/23 |
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Keywords
- Human tracking
- Large area
- Multi-camera
- Particle filter
- Tracking system
ASJC Scopus subject areas
- Control and Systems Engineering
Cite this
Musa, Z. B., Watada, J., & Zhang, H. (2010). Multi-camera tracking mehtod based on particle filtering. In 2010 World Automation Congress, WAC 2010 [5665444]