基于深度学习的驾驶员分心驾驶行为（疲劳+危险行为）预警系统使用YOLOv5+Deepsort实现驾驶员的危险驾驶行为的预警监测

Real-time multi-camera multi-object tracker using YOLO varients

Deepsort with yolo series. This project support the existing yolo detection model algorithm (YOLOV8, YOLOV7, YOLOV6, YOLOV5, YOLOV4Scaled, YOLOV4, YOLOv3', PPYOLOE, YOLOR, YOLOX ).

MOT using deepsort and yolov7 with c++. It also supports yolov5 as a detector.

People tracking using Deep SORT + ROS + Yolov5 with depth camera

Enhancing people counting algorithm to achieve more accurate counting when using YOLO models with small datasets

🚗 Detect driver distractions in images for improved road safety by predicting behavior like texting, talking, and reaching behind the wheel.