Object Tracking Using Motion Compensation Based Motion Model for Mobile Cameras
碩士 === 國立中央大學 === 通訊工程研究所 === 98 === Robustness of visual tracking on mobile devices plays a key role in the success of emerging applications of robotics and cell phones. The prediction accuracy of object motion makes a great impact on the tracking accuracy. Therefore, this paper proposes to combine...
| Main Authors: | , |
|---|---|
| Other Authors: | |
| Format: | Others |
| Language: | zh-TW |
| Published: |
2010
|
| Online Access: | http://ndltd.ncl.edu.tw/handle/71688125202039531490 |
| Summary: | 碩士 === 國立中央大學 === 通訊工程研究所 === 98 === Robustness of visual tracking on mobile devices plays a key role in the success of emerging applications of robotics and cell phones. The prediction accuracy of object motion makes a great impact on the tracking accuracy. Therefore, this paper proposes to combine motion compensation and motion model to achieve fast and accurate estimation of object motion in 2-D images. At each time instant, the particle filter estimates the 2D object motion after motion compensation in the image based on the information of camera motionCamera motion is extracted with the aid of Speed-Up Robust Feature (SURF) algorithms. With our tracking algorithm, accurate tracking on mobile platforms can be achieved with a small number of particles. The experimental results show that our proposed tracking algorithm on mobile platforms performs well even if the rapid and irregular object motion exists.
|
|---|