最近想在YOLOv3目标检测基础上,结合现有方便快捷的追踪方法,提高目标检测的效果,现将网上找到的资源整理如下,便于查阅。
1.GitHub - lyp-deeplearning/deep_sort_yolov3: yolo做行人检测+deep-sort做匹配,端对端做多目标跟踪
yolov3+deep sort
2.GitHub - Sierkinhane/human_tracker: human tracking based on yolov3 and center loss
yolov3+center loss+replay buffer,单人物跟踪
演示视频:yolov3+center loss+replay buffer单人物跟踪_哔哩哔哩 (゜-゜)つロ 干杯~-bilibili
- GitHub - Qidian213/deep_sort_yolov3: Real-time Multi-person tracker using YOLO v3 and deep_sort with tensorflow
yolov3+deep sort
演示视频:yolov3_deep_sort test video_哔哩哔哩 (゜-゜)つロ 干杯~-bilibili
- keras-yolov3 + Kalman-Filter 进行人体多目标追踪(含代码) - 素质云笔记/Recorder… - 优快云博客
yolov3 + Kalman-Filter,多目标追踪
5.基于YOLOv3和deep_sort的多目标跟踪 - weixin_42755375的博客 - 优快云博客
yolov3+deep sort,多目标追踪
6.YOLOv3目标检测、卡尔曼滤波、匈牙利匹配算法多目标追踪 - xiao__run的博客 - 优快云博客