Abstract
To recognize moving targets simply and efficiently in infrared image sequences, a novel target recognition method based on Bayesian probability theory is proposed. The target initial position in the original image frame is obtained using the correlation matching algorithm. According to the recognition properties of the target, the decision functions are established. The classification of the connected regions in the current frame is determined by calculating Bayesian probability. The pattern vector is updated after the new target is located in the current frame for the target recognition in the next frame, and the purpose of moving target recognition is achieved. Experimental results show that: according to the recognized properties and probability calculation, the method can recognize the moving target fast and effectively with low computational complexity, and also the algorithm used is suitable for embedded system complementation and has strong robusticity.
| Original language | English |
|---|---|
| Pages (from-to) | 76-80 |
| Number of pages | 5 |
| Journal | Nanjing Li Gong Daxue Xuebao/Journal of Nanjing University of Science and Technology |
| Volume | 37 |
| Issue number | 1 |
| Publication status | Published - Feb 2013 |
| Externally published | Yes |
Keywords
- Bayesian probability
- Infrared image sequences
- Moving targets
- Robusticity
- Target recognition