Ellipse Fitting Based Approach for Extended Object Tracking. (8th May 2014)
- Record Type:
- Journal Article
- Title:
- Ellipse Fitting Based Approach for Extended Object Tracking. (8th May 2014)
- Main Title:
- Ellipse Fitting Based Approach for Extended Object Tracking
- Authors:
- Li, Borui
Mu, Chundi
Bai, Yongqiang
Bi, Jianquan
Wang, Lei - Other Names:
- Li Jian Academic Editor.
- Abstract:
- Abstract : With the increase of sensors' resolution, traditional object tracking technology, which ignores object's physical extension, gradually becomes inappropriate. Extended object tracking (EOT) technology is able to obtain more information about the object through jointly estimating both centroid's dynamic state and physical extension of the object. Random matrix based approach is a promising method for EOT. It uses ellipse/ellipsoid to describe the physical extension of the object. In order to reduce the physical extension estimation error when object maneuvers, the relationship between ellipse/ellipsoid and symmetrical positive definite matrix is analyzed at first. On this basis, ellipse/ellipsoid fitting based approach (EFA) for EOT is proposed based on the measurement model and centroid's dynamic model of random matrix based EOT approach. Simulation results show that EFA is effective. The physical extension estimation error of EFA is lower than those of random matrix based approaches when object maneuvers. Besides, the estimation error of centroid's dynamic state of EFA is also lower.
- Is Part Of:
- Mathematical problems in engineering. Volume 2014(2014)
- Journal:
- Mathematical problems in engineering
- Issue:
- Volume 2014(2014)
- Issue Display:
- Volume 2014, Issue 2014 (2014)
- Year:
- 2014
- Volume:
- 2014
- Issue:
- 2014
- Issue Sort Value:
- 2014-2014-2014-0000
- Page Start:
- Page End:
- Publication Date:
- 2014-05-08
- Subjects:
- Engineering mathematics -- Periodicals
510.2462 - Journal URLs:
- https://www.hindawi.com/journals/mpe/ ↗
http://www.gbhap-us.com/journals/238/238-top.htm ↗ - DOI:
- 10.1155/2014/632815 ↗
- Languages:
- English
- ISSNs:
- 1024-123X
- Deposit Type:
- Legaldeposit
- View Content:
- Available online (eLD content is only available in our Reading Rooms) ↗
- Physical Locations:
- British Library HMNTS - ELD Digital store
- Ingest File:
- 21174.xml