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- 2016-05-23
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- 陈想
Description: A correlation-based tracking algorithm based on kalman prediction and adaptive reference template is discussed.
The target state in the next frame can be predicted using kalman prediction which can reduce the search area of the target
detection， and meet the target tracking in real time. Adaptive template update strategy which can adjust the reference template
based on the changes of the tracking target is used to improve the stability of target tracking. The simulation results indicate
that the algorithm can quickly adjust the reference template according to the changes of the shape size and position and the
target is tracked stably and real-time. The target also can be tracked efficaciously， when it is occluded.
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基于kalman预测和自适应模板的目标相关跟踪研究.pdf
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