yolov5目标跟踪

yolov5目标跟踪是使用OpenCV的dnn模块对yolov5模型进行部署，结合卡尔曼滤波（kalman算法）对检测到的目标进行跟踪和预测的技术。通过yolov5模型检测出目标物体，并利用卡尔曼滤波算法对目标的运动轨迹进行预测和跟踪。这种方法可以应用于导航等领域，用于短暂目标丢失预测。通过目标跟踪，我们可以获取目标的运动轨迹和相应的数据，比如统计行人的流量、车辆的流量等。同时，为了实现yolov5目标跟踪，需要将下载好的yolov5-master文件中的内容拖拽到Yolov5_DeepSort_Pytorch\yolov5文件夹中。<span class="em">1</span><span class="em">2</span><span class="em">3</span>
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- *1* [使用yolov5,dnn和卡尔曼滤波（kalman）进行目标跟踪和预测](https://download.csdn.net/download/weixin_41868104/84979158)[target="_blank" data-report-click={"spm":"1018.2226.3001.9630","extra":{"utm_source":"vip_chatgpt_common_search_pc_result","utm_medium":"distribute.pc_search_result.none-task-cask-2~all~insert_cask~default-1-null.142^v93^chatsearchT3_1"}}] [.reference_item style="max-width: 50%"]
- *2* *3* [【教程】Yolov5目标跟踪检测整个流程](https://blog.csdn.net/qq_34904125/article/details/122910716)[target="_blank" data-report-click={"spm":"1018.2226.3001.9630","extra":{"utm_source":"vip_chatgpt_common_search_pc_result","utm_medium":"distribute.pc_search_result.none-task-cask-2~all~insert_cask~default-1-null.142^v93^chatsearchT3_1"}}] [.reference_item style="max-width: 50%"]
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