Object tracking implemented with YOLOv4, DeepSort, and TensorFlow.

Object detection and tracking algorithm implemented for Real-Time video streams and static images.

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

Integration of YOLOv9 with ByteTracker

Python版OpenCVのTracking APIの比較サンプル

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.

Minimal PyTorch implementation of YOLOv5 and StrongSort

Depth-Based Bayesian Object Tracking Library

Using Python and OpenCV to count cars on a highway.

Visual Tracking by TridenAlign and Context Embedding

Lightweight Swift package for adding real-time object tracking to any detector.

OcSort-Pip: Packaged version of the OcSort repository

A collection of trackers' code for Visual Tracker Benchmark (OTB).

A thread safe implementation of ByteTrack with (COCO) labels.

Implementation of object tracking research papers

[ACCV 2024 (Oral)] Official Implementation of Depth Attention for Robust RGB Tracking