Go package for computer vision using OpenCV 4 and beyond. Includes support for DNN, CUDA, OpenCV Contrib, and OpenVINO.

[CVPR2019] Fast Online Object Tracking and Segmentation: A Unifying Approach

Lightweight Python library for adding real-time multi-object tracking to any detector.

The collection of pre-trained, state-of-the-art AI models for ailia SDK

[CVPR'23] Universal Instance Perception as Object Discovery and Retrieval

📊 Benchmark multiple object trackers (MOT) in Python

Object tracking implemented with YOLOv4, DeepSort, and TensorFlow.

[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

Python framework that facilitates the quick development of complex video analysis applications and other series-processing based applications in a multiprocessing environment.

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

[ECCV'22 Oral] Towards Grand Unification of Object Tracking

YOLOv8 Object Tracking using PyTorch, OpenCV and DeepSORT

C implementation to Detect, track and classify multiple objects using LIDAR scans or point cloud

[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

Tracking Anything in High Quality

Multi-object trackers in Python

Arbitrary object tracking at 50-100 FPS with Fully Convolutional Siamese networks.

SiamFC tracking in TensorFlow.