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首页> 外文期刊>International Journal of Pattern Recognition and Artificial Intelligence >An Industrial Production Line Dynamic Target Tracking System Based on HAAR and CAMSHIFT
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An Industrial Production Line Dynamic Target Tracking System Based on HAAR and CAMSHIFT

机译:基于HAAR和CAMSHIFT的工业生产线动态目标跟踪系统

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摘要

Aiming at the detection and tracking of moving targets in industrial automation system, a dynamic target tracking algorithm based on HAAR and CAMSHIFT is proposed. A cascade HAAR classifier is designed and trained for tracking targets. CAMSHIFT algorithm is used to track and detect moving targets quickly. The system is tested on Raspberry Pi embedded platform. The results show that the algorithm can detect the target correctly and track the target effectively.
机译:针对工业自动化系统中移动目标的检测和跟踪,提出了一种基于HAAR和CAMShift的动态目标跟踪算法。设计和培训级联HAAR分类器,用于跟踪目标。 CAMShift算法用于快速跟踪和检测移动目标。该系统在覆盆子PI嵌入式平台上进行了测试。结果表明,该算法可以正确地检测目标并有效地跟踪目标。

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