#Object-tracking
Showing 40 of 40 repositories tagged #object-tracking, ranked by stars
Ultralytics YOLO26, YOLO11, YOLOv8 — object detection, instance segmentation, semantic segmentation, image classification, pose estimation, object tracking
Go package for computer vision using OpenCV 4 and beyond. Includes support for DNN, CUDA, OpenCV Contrib, and OpenVINO.
[CVPR19/TPAMI23] SiamMask: A Framework for Fast Online Object Tracking and Segmentation
The collection of pre-trained, state-of-the-art AI models for ailia SDK
[ICCV 2023] Tracking Anything with Decoupled Video Segmentation
最新版本yolov5+deepsort目标检测和追踪，能够显示目标类别，支持5.0版本可训练自己数据集
[CVPR2023] The official repo for OC-SORT: Observation-Centric SORT on video Multi-Object Tracking. OC-SORT is simple, online and robust to occlusion/non-linear motion.
Algorithms and Publications on 3D Object Tracking
[ECCV'22 Oral] Towards Grand Unification of Object Tracking
Multi-object trackers in Python
Arbitrary object tracking at 50-100 FPS with Fully Convolutional Siamese networks.
SiamFC tracking in TensorFlow.
[CVPR'17] Training a Correlation Filter end-to-end allows lightweight networks of 2 layers (600 kB) to high performance at fast speed..
[CVPR 2025, IJCV 2026] "A Distractor-Aware Memory for Visual Object Tracking with SAM2", "Distractor-Aware Memory-Based Visual Object Tracking"
a GUI application, which uses YOLOs (YOLOv8, YOLO11, YOLOv13) for Object Detection/Tracking, Human Pose Estimation/Tracking from images, videos or camera
Fall Detection using OpenPifPaf's Human Pose Estimation model
[AAAI 2024] UCMCTrack: Multi-Object Tracking with Uniform Camera Motion Compensation. UCMCTrack achieves SOTA on MOT17 using estimated camera parameters.
YOLOv8 Object Tracking Using PyTorch, OpenCV and Ultralytics
A multi-purpose Video Labeling GUI in Python with integrated SOTA detector and tracker
Create a digital-twin style traffic visualization using only mp4 CCTV footage and its Google Maps location.
A framework for building high-performance real-time multiple object trackers
AI-powered padel analytics
A tensorflow implementation with SSD model for person detection and Kalman Filtering combined for tracking
[CVPR'16] Staple: Complementary Learners for Real-Time Tracking"
Ultralytics Notebooks 🚀
All Computer Vision Projects - Beginner to Advanced
autoupdate paper list
Object detection, tracking, and 6DoF pose estimation in the web browser, integrated training environment to train your own neural network models 🚀
This repo contains projects created using TensorFlow-Lite on Raspberry Pi and Teachable Machine. AI and ML capabilities have been integrated with Robot's software.
Multiple Object Tracking System in Keras + (Detection Network - YOLO)
Lightweight WebGL and JavaScript library for real time object detection, tracking and 6DoF pose estimation in the browser 📦. Included in WebAR.rocks.train for custom neural network training.
Object tracking pipelines complete with RF-DETR, YOLOv9, YOLO-NAS, YOLOv8, and YOLOv7 detection and BYTETracker tracking
AI-powered visual reasoning tools for broadcast & ProAV. PTZ camera tracking, object detection, scene analysis using Moondream VLM. By StreamGeeks & PTZOptics.
This repository contains code for object detection and tracking in videos using the YOLOv9 object detection model and the DeepSORT algorithm.
A comprehensive roadmap that outlines the key steps and topics you should cover on your journey to becoming a Full Stack Computer Vision Engineer.
YOLOv8 object detection, tracking, image segmentation and pose estimation app using Ultralytics API (for detection, segmentation and pose estimation), as well as DeepSORT (for tracking) in Python. This app uses an UI made with streamlit and it can be deployed with Docker.
Multi-camera people tracking is to monitoring people with multiple cameras and connecting each other
2021年计算机视觉技术综述分类汇总
Fast Volleyball Tracking Inference: Real-time volleyball ball detection and tracking at 100 FPS on CPU (Intel i5-10400F). Powered by an optimized ONNX model, outputs ball coordinates to CSV, with optional video visualization. Ideal for sports analytics and computer vision research.
Devkit for 3D -- Some utils for 3D object detection based on Numpy and Pytorch