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《Intelligent Computer and Applications》 2019-04
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Improved pedestrian target tracking algorithm combined with R-DAD and KCF

XU Xibin;Guangdong Engineering Polytechnic;  
Pedestrian target tracking technology has strong applicability in real life,but there are problems such as weak antiblocking. Therefore,using the convenience of the Jetson TK1 platform combined with the R-DAD(Region Decomposition and Assembly Detector) idea,the KCF(Kernelized Correlation Filters) tracking algorithm is improved to achieve the tracking of pedestrian targets. Experiments showthat the improved pedestrian target tracking system not only has less computation,high performance,fast speed,but also has good anti-blocking and accuracy.
【CateGory Index】: TP391.41;TP18
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