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Published in:
2019 | OriginalPaper | Chapter
Application of Unscented Kalman Filter in Tracking of Video Moving Target
Authors : Qin Guo, Cuixia Zeng, Zhizhao Jiang, Xiaotong Hu, Xiaofei Deng
Published in: Biometric Recognition
Publisher: Springer International Publishing
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Abstract
The tracking of video moving target is actually an estimation problem of state variable. Kalman filter method is one of the classical estimators widely used in the field of state estimation. But in tracking system of video moving target, the classical Kalman filtering method has the problem of low tracking accuracy and divergence of filtering. In order to improve the tracking effect, a unscented Kalman filter algorithm is used to track moving target in video sequence. The application of unscented Kalman filter in tracking of video moving target is compared with that of Kalman filter by Matlab simulation software. The results show that unscented Kalman filter is more accurate and better than Kalman filter in tracking of video moving target.