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| Content Provider | IEEE Xplore Digital Library |
|---|---|
| Author | Jiasheng Song Guoqing Hu |
| Copyright Year | 2013 |
| Description | Author affiliation: Sch. of Mech. & Automotive Eng., South China Univ. of Technol., Guangzhou, China (Jiasheng Song; Guoqing Hu) |
| Abstract | Visual tracking is often confronted with some impediments, such as the target's sudden acceleration and structural deformation, occlusion, lighting changes and so on. To overcome these problems, a tracking approach is proposed, which is based on the unscented Kalman filter (UKF) and the multi-feature fusion. First, the mean and covariance of the target state variable is predicted based on a nearly constant velocity system. And the target's hue histogram and edge orientation histogram are extracted at the corresponding position. Second, the measured position is calculated by Mean-shift algorithm based on the fusion of multi-feature. Finally, according to the measured position the UKF updates the mean and covariance of the state variable and reports the current position of the target. The experiments in 2 different scenes showed that the tracking method could efficiently track the fast moving objects and adapt to the lighting changes, rotation, and partial occlusion and deform. These demonstrated that the method have more tracking accuracy and adaptive robustness. |
| Sponsorship | Nanjing Sect. CIS Chapt. |
| Starting Page | 197 |
| Ending Page | 200 |
| File Size | 437153 |
| Page Count | 4 |
| File Format | |
| ISBN | 9780769550794 |
| DOI | 10.1109/ISCID.2013.56 |
| Language | English |
| Publisher | Institute of Electrical and Electronics Engineers, Inc. (IEEE) |
| Publisher Date | 2013-10-28 |
| Publisher Place | China |
| Access Restriction | Subscribed |
| Rights Holder | Institute of Electrical and Electronics Engineers, Inc. (IEEE) |
| Subject Keyword | Histograms Target tracking Position measurement Feature extraction object tracking state estimation hue histogram Mathematical model Kalman filters edge orientation histogram Equations unscented Kalman filter |
| Content Type | Text |
| Resource Type | Article |
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