Abstract
Unmanned aerial vehicles (UAVs) equipped with monitoring systems have played an important role in various fields in recent years. An object tracking algorithm is necessary in order to process information in the wide range of UAV videos. CamShift algorithm is outstanding as its efficient pattern matching and fast convergence. This paper presents an excellent method based on CamShift to implement precise target tracking in UAV videos. This method integrates multi-feature fusion (MF), CamShift, and Kalman filter (KF) called the MF-KF-Camshift algorithm. Experimental results show that the method achieves great performance in dealing with different scenes and meets the real-time requirements.
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Acknowledgments
This work was supported by the “Application platform and Industrialization for efficient cloud computing for Big data” of the Science and Technology Supported Program of Jiangsu Province (BA2015052) and “Research and Industrialization for Intelligent video processing Technology based on GPUs Parallel Computing” of the Science and Technology Supported Program of Jiangsu Province (BY2016003-11).
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Zhao, C., Yuan, J., Zheng, H. (2017). A Robust Object Tracking Method Based on CamShift for UAV Videos. In: Yin, H., et al. Intelligent Data Engineering and Automated Learning – IDEAL 2017. IDEAL 2017. Lecture Notes in Computer Science(), vol 10585. Springer, Cham. https://doi.org/10.1007/978-3-319-68935-7_7
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DOI: https://doi.org/10.1007/978-3-319-68935-7_7
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