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| Content Provider | IEEE Xplore Digital Library |
|---|---|
| Author | Ji Qingbo Yang Yang |
| Copyright Year | 2010 |
| Description | Author affiliation: School of Automation Science and Electrical Engineering, Beihang University, beijing, china (Ji Qingbo) || Information and Communication Engineering College, Harbin Engineering University, Heilongjiang, China (Yang Yang) |
| Abstract | Aiming at the detecting and tracking of the moving dim target with low SNR, this paper puts forward a new arithmetic of tracking before detecting based on particle filter (TBD-PF). The arithmetic proceeds background suppression with mathematical morphology filter firstly, and then estimates the state of the target using the arithmetic of particle filter. A threshold value is set when sampling newborn particles in the processing of tracking, and it not only improves the quality of particles but also reduces computation cost. The method of the hypothetic test of likelihood ratio is used to decide whether the target exists in the processing of detection. Finally, we obtain the track and detecting probability of the target. The excellent detecting capability and tracking precision of this presented arithmetic are well verified by the results of the simulation which utilizes the realistic infrared images with different SNR. |
| Starting Page | 229 |
| Ending Page | 234 |
| File Size | 518183 |
| Page Count | 6 |
| File Format | |
| ISBN | 9781424467358 |
| e-ISBN | 9781424467372 |
| e-ISBN | 9781424467365 |
| DOI | 10.1109/PRIMEASIA.2010.5604918 |
| Language | English |
| Publisher | Institute of Electrical and Electronics Engineers, Inc. (IEEE) |
| Publisher Date | 2010-09-22 |
| Publisher Place | China |
| Access Restriction | Subscribed |
| Rights Holder | Institute of Electrical and Electronics Engineers, Inc. (IEEE) |
| Subject Keyword | Target tracking Bayesian methods Particle filters Image sequences Mathematical model Signal to noise ratio |
| Content Type | Text |
| Resource Type | Article |
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