There are 1 repository under object-tracker topic.
Object tracking implemented with YOLOv4, DeepSort, and TensorFlow.
Object tracking implemented with YOLOv3, Deep Sort and Tensorflow.
using yolox+deepsort for object-tracking
Monocular multi-object tracking using simple and complementary 3D and 2D cues (ICRA 2018)
2019-2020年目标跟踪资源全汇总(论文、模型代码、优秀实验室)极市团队整理
YOLOv7 Object Tracking using PyTorch, OpenCV and DeepSORT
Depth-Based Bayesian Object Tracking Library
Minimal PyTorch implementation of YOLOv5 and StrongSort
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.
Python版OpenCVのTracking APIの比較サンプル
Integration of YOLOv9 with ByteTracker
Visual Tracking by TridenAlign and Context Embedding
Lightweight Swift package for adding real-time object tracking to any detector.
Implementation of object tracking research papers
An object tracking for humans 🔬
OcSort-Pip: Packaged version of the OcSort repository
A thread safe implementation of ByteTrack with (COCO) labels.
Face Tracker using Yolov3, Arcface, Deepsort
This work proposes a feature refined end-to-end tracking framework with a balanced performance using a high-level feature refine tracking framework. The feature refine module enhances the target feature representation power that allows the network to capture salient information to locate the target. The attention module is employed inside the feature refine mechanism to improve network discrimination power that augments the network ability to track the target in challenging scenarios.
A PyTorch port of GOTURN tracker
Deep MDP: A Modular Framework for Multi-Object Tracking
Simple centroid tracking algorithm using a cascade detector.
Multi object tracker, with Python and OpenCV DNN
This is a C++ implement of fast directional chamfer matching on any platform.
Using faster RCNN with the backbone Resnet Strikes Back in MMDetection to implement an IOU-based tracker with Kalman Filter and delayed deletion.
This is an automatic object tracker project using image processing. This is the project done as a part of Instrumentation II course in fifth semester of Electronics and communication engineering, IOE Pulchowk Campus. In this project, a green ball is detected and followed by a vehicle. Members of this project are: Milan Maharjan (072bex446) Srijana Bhusal (072BEX440) Sunidhi Amatya (072bex443) Madhusudan Mainali (072BEX449)
Repo showing different ways/approaches for tracking objects