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
Multi-camera tracking mehtod based on particle filtering. / Musa, Zalili Binti; Watada, Junzo; Zhang, Huiming.
2010 World Automation Congress, WAC 2010. 2010. 5665444.Research output: Chapter in Book/Report/Conference proceeding › Conference contribution
}
TY - GEN
T1 - Multi-camera tracking mehtod based on particle filtering
AU - Musa, Zalili Binti
AU - Watada, Junzo
AU - Zhang, Huiming
PY - 2010
Y1 - 2010
N2 - 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.
AB - 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.
KW - Human tracking
KW - Large area
KW - Multi-camera
KW - Particle filter
KW - Tracking system
UR - http://www.scopus.com/inward/record.url?scp=78651412837&partnerID=8YFLogxK
UR - http://www.scopus.com/inward/citedby.url?scp=78651412837&partnerID=8YFLogxK
M3 - Conference contribution
SN - 9781424496730
BT - 2010 World Automation Congress, WAC 2010
ER -