红外图像序列多目标检测与跟踪
Multi-target detection and tracking in infrared image sequence
本文通过对运动多目标检测与跟踪的研究，利用Surendra算法实现了对红外图像序列中多人体目标的检测，并提出了一种多特征融合与Kalman预测相结合的多目标跟踪方法。实验结果表明，采用这种方法对多个运动目标进行跟踪具有良好的稳定性。
hrough the study of multi-target detection and tracking, this paper uses the algorithm of Surendra for infrared image sequence of multi-target detection in human body, and proposes a method of combining multi-feature fusion and Kalman prediction for multi-target tracking. Experimental results show the good stability of using this method to track multiple moving targets.
曹晖、焦淑红
光电子技术电子技术应用
多特征融合运动目标检测多目标跟踪
Multi-features fusionMoving target DetectionMulti-target tracking
曹晖,焦淑红.红外图像序列多目标检测与跟踪[EB/OL].(2010-01-20)[2025-08-02].http://www.paper.edu.cn/releasepaper/content/201001-896.点此复制
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