object-tracking

Go package for computer vision using OpenCV 4 and beyond.

[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

📊 Benchmark multiple object trackers (MOT) in Python

Object tracking implemented with YOLOv4, DeepSort, and TensorFlow.

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

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

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

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

Multi-object trackers in Python

SiamFC tracking in TensorFlow.

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

[CVPR'17] Training a Correlation Filter end-to-end allows lightweight networks of 2 layers (600 kB) to high performance at fast speed..

People detection and optional tracking with Tensorflow backend.

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

Library for tracking-by-detection multi object tracking implemented in python

This is a re-implementation of Siamese-RPN with pytorch, which is CVPR2018 spotlight.

JavaScript object detection lightweight library for augmented reality (WebXR demos included). It uses convolutional neural networks running on the GPU with WebGL.

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.