Object Detection and Multi-Object Tracking
翻译 - YOLO和RCNN目标检测和多目标跟踪
Multi-object trackers in Python
#人脸识别#PaddleDetection为基于飞桨PaddlePaddle的端到端目标检测套件，提供多种主流目标检测、实例分割、跟踪、关键点检测算法，配置化的网络模块组件、数据增强策略、损失函数等，推出多种服务器端和移动端工业级SOTA模型，并集成了模型压缩和跨平台高性能部署能力,帮助开发者更快更好完成端到端全开发流程。
Joint Detection and Embedding for fast multi-object tracking
翻译 - 联合检测和嵌入，用于快速多目标跟踪
Paper list and source code for multi-object-tracking
Multiple objects tracker using openCV and dlib
Learning to Track: Online Multi-Object Tracking by Decision Making
A project for 3D multi-object tracking
Bayesian multi-object tracking
Real-time multi-camera multi-object tracker using YOLOv7 and StrongSORT with OSNet
Real-time multi-camera multi-object tracker using (YOLOv5, YOLOv7,YOLOv8) and StrongSORT with OSNet
Ready-to-use realtime multi-object tracker that works for any object category. YOLOv5 + SORT implementation.
Multi-Object Tracker for the H.264 and MPEG-4 Compressed Domain.
Object Alloc Tracker Samples
Object Detection Progress Tracker
Track oriented, multi target, multi hypothesis tracker
Source code for JRMOT: A Real-Time 3D Multi-Object Tracker and a New Large-Scale Dataset
Multi-Worm Behaviour Tracker
Multiple Object Tracker, Based on Hungarian algorithm + Kalman filter.
翻译 - 多对象跟踪器，基于匈牙利算法+卡尔曼滤波器。
This is a Multi object tracker. Mainly it was build for tracking car movement in a junction.
Object Tracker written in Python using dlib and OpenCV
