MOT using deepsort and yolov3 with pytorch

• UpdatedJul 16, 2024
• Python

A unified library for object tracking featuring clean room re-implementations of leading multi-object tracking algorithms

• UpdatedDec 15, 2025
• Python

Real-time Multi-person tracker using YOLO v3 and deep_sort with tensorflow

• UpdatedMar 22, 2021
• Python

Object tracking implemented with YOLOv4, DeepSort, and TensorFlow.

• UpdatedMay 22, 2024
• Python

High-performance multiple object tracking based on YOLO, Deep SORT, and KLT 🚀

• UpdatedJul 25, 2024
• Python

Multi-camera live traffic and object counting with YOLO v4, Deep SORT, and Flask.

• UpdatedDec 19, 2021
• Python

People detection and optional tracking with Tensorflow backend.

• UpdatedFeb 21, 2021
• Python

a GUI application, which uses YOLOs (YOLOv8, YOLO11, YOLOv13) for Object Detection/Tracking, Human Pose Estimation/Tracking from images, videos or camera

• UpdatedAug 20, 2025
• Python

Object tracking implemented with the Roboflow Inference API, DeepSort, and OpenAI CLIP.

• UpdatedApr 12, 2024
• Python

Object tracking implemented with YOLOv3, Deep Sort and Tensorflow.

• UpdatedNov 21, 2022
• Python

using yolox+deepsort for object-tracking

• UpdatedMar 16, 2024
• Python

Replication of MOT project - DeepSort with attention blocks.

• UpdatedMar 7, 2022
• Python

Real-time multi-person tracker using YOLO v3 and deep sort

• UpdatedNov 23, 2022
• Python

可基于摄像头实时监控或录制的视频或静态图片进行行人检测(lffd)/跟踪(deep sort)和行人重识别(reid)。

• UpdatedNov 22, 2022
• Python

The easiest way to count pedestrians, cyclists, and vehicles on edge computing devices or live video feeds.

• UpdatedAug 4, 2024
• Jupyter Notebook

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

• UpdatedFeb 2, 2023
• Python

Real-time PPE detection and tracking using YOLO v3 and deep_sort

• UpdatedMay 24, 2024
• Python

An algorithm that uses YoloV5 and DeepSORT to count and measure the number of vehicles in a video stream, it detects the vehicles with YoloV5 and tracks them with DeepSORT to maintain a count of unique vehicles in the video. It also calculates the frames per second (FPS) of the video stream.

• UpdatedJun 5, 2025
• Python

System integrated with YOLOv4 and Deep SORT for real-time crowd monitoring, then perform crowd analysis. The system is able to monitor for abnormal crowd activity, social distance violation and restricted entry. The other part of the system can then process crowd movement data into optical flow, heatmap and energy graph.

• UpdatedDec 15, 2021
• Python

get football tracking data from TV broadcast using yoloV5, Deep sort

• UpdatedJul 21, 2022
• Python