| Article ID | Journal | Published Year | Pages | File Type |
|---|---|---|---|---|
| 1784709 | Infrared Physics & Technology | 2013 | 8 Pages |
Abstract
⺠For a long time, tracking infrared point targets is a great challenge task. ⺠A tracking framework based on template matching combined with Kalman prediction is proposed. ⺠The projection coefficients obtained from principal component analysis are used as templates. ⺠The non-linear correlation coefficient is used to measure the matching degree. ⺠Kalman prediction reduces the searching region for the detection.
Related Topics
Physical Sciences and Engineering
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Authors
Ruiming Liu, Xuelong Li, Lei Han, Jiao Meng,