Markov Chain Realization of Multiple Detection Joint Integrated Probabilistic Data Association
- Title
- Markov Chain Realization of Multiple Detection Joint Integrated Probabilistic Data Association
- Author
- 송택렬
- Keywords
- Markov chain process; multiple detection; target existence evaluation; multitarget tracking; data association
- Issue Date
- 2019-01
- Publisher
- MDPI
- Citation
- SENSORS, v. 19, No. 1, Article no. 112
- Abstract
- In multiple detection target tracking environments, PDA-based algorithms such as multiple detection joint integrated probabilistic data association (MD-JIPDA) utilize the measurement partition method to generate measurement cells. Thus, one-to-many track-to-measurements associations can be realized. However, in this structure, the number of joint data association events grows exponentially with the number of measurement cells and the number of tracks. MD-JIPDA is plagued by large increases in computational complexity when targets are closely spaced or move cross each other, especially in multiple detection scenarios. Here, the multiple detection Markov chain joint integrated probabilistic data association (MD-MC-JIPDA) is proposed, in which a Markov chain is used to generate random data association sequences. These sequences are substitutes for the association events. The Markov chain process significantly reduces the computational cost since only a few association sequences are generated while keeping preferable tracking performance. Finally, MD-MC-JIPDA is experimentally validated to demonstrate its effectiveness compared with some of the existing multiple detection data association algorithms.
- URI
- https://www.mdpi.com/1424-8220/19/1/112https://repository.hanyang.ac.kr/handle/20.500.11754/112162
- ISSN
- 1424-8220
- DOI
- 10.3390/s19010112
- Appears in Collections:
- COLLEGE OF ENGINEERING SCIENCES[E](공학대학) > ELECTRICAL ENGINEERING(전자공학부) > Articles
- Files in This Item:
- 2019.01_송택렬_Markov Chain Realization of Multiple Detection Joint Integrated Probabilistic Data Association.pdfDownload
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