Abstract
Automatic equipmenttransportation in the wild complex terrain circumstances is very important in rescue or military. In this paper, an accompanying system based on the identification and tracking of infrared LEDmarkers is proposed. This system avoidsthe defect that visible-light identification method has. In addition, this paper presents a Kalman filter to predict where infraredmarkers may appear in the nextframe imageto reduce the searchingarea of infrared markers, which remarkablyimproves the identificationspeed of infrared markers. The experimental results show that the algorithm proposed in this paper is effective and feasible.
| Original language | English |
|---|---|
| Title of host publication | Applied Mechanics and Mechanical Engineering III |
| Pages | 1147-1153 |
| Number of pages | 7 |
| DOIs | |
| Publication status | Published - 2013 |
| Event | 2012 3rd International Conference on Applied Mechanics and Mechanical Engineering, ICAMME 2012 - Macau, China Duration: 14 Nov 2012 → 15 Nov 2012 |
Publication series
| Name | Applied Mechanics and Materials |
|---|---|
| Volume | 249-250 |
| ISSN (Print) | 1660-9336 |
| ISSN (Electronic) | 1662-7482 |
Conference
| Conference | 2012 3rd International Conference on Applied Mechanics and Mechanical Engineering, ICAMME 2012 |
|---|---|
| Country/Territory | China |
| City | Macau |
| Period | 14/11/12 → 15/11/12 |
Keywords
- Infrared markers
- Kalman filter
- Markers' identification
- Mobile robot
Fingerprint
Dive into the research topics of 'Real-time identification and tracking of infrared markers based on kalman filter'. Together they form a unique fingerprint.Cite this
Xing, Q., Yan, D., Hu, X., Lin, J., & Yang, B. (2013). Real-time identification and tracking of infrared markers based on kalman filter. In Applied Mechanics and Mechanical Engineering III (pp. 1147-1153). (Applied Mechanics and Materials; Vol. 249-250). https://doi.org/10.4028/www.scientific.net/AMM.249-250.1147