Track Score and Target Existence
- Title
- Track Score and Target Existence
- Author
- Musicki, Darko
- Keywords
- Data association; Estimation; ITS; MHT; Tracking
- Issue Date
- 2006-07
- Publisher
- IEEE
- Citation
- 2006 9th International Conference on Information Fusion, Article no. 4086048
- Abstract
- Automatic target tracking in clutter initiates and updates both true tracks and false tracks. True tracks follow targets, and false tracks do not. False track discrimination is the procedure which confirms (vast majority of) true tracks, and terminates (vast majority of) false tracks. False Track Discrimination requires a measure of track quality to distinguish between true tracks and false tracks in a statistical sense. This paper compares two powerful track quality measures; the track score, as used in Multi Hypothesis Tracking (MHT) and the probability of target existence, as used in Integrated Track Splitting (ITS) filter. Both theoretical and simulation comparisons are presented in a single target tracking situation.
- URI
- https://ieeexplore.ieee.org/abstract/document/4086048https://repository.hanyang.ac.kr/handle/20.500.11754/108349
- ISBN
- 978-142440953-2
- DOI
- 10.1109/ICIF.2006.301762
- Appears in Collections:
- COLLEGE OF ENGINEERING SCIENCES[E](공학대학) > ELECTRONIC SYSTEMS ENGINEERING(전자시스템공학과) > Articles
- Files in This Item:
There are no files associated with this item.
- Export
- RIS (EndNote)
- XLS (Excel)
- XML