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UAV Target Tracking Based on Improved TLD Algorithm

Zhongjian Li, Yuting Yi


When tracking UAV targets in complex environments, it requires to realize online tracking. At the same time, the target may be obscured and lost in some frames. In order to overcome these problems, the TLD(Tracking Learning and Detecting) algorithm containing tracking module, learning module and detecting module is improved. In the framework of improved algorithm, detection module based on the method of building targets neighborhood constructs the scan windows. Also a location prediction module based on Kalman filter is introduced. The experimental results show that the improved TLD algorithm can be applied to the case of target obscured with high recognition rate and low error detection rate. At the same time, it has good real-time performance and can satisfy the demands of general online tracking system.

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