Go package for computer vision using OpenCV 4 and beyond.

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

📊 Benchmark multiple object trackers (MOT) 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..

Multi-object trackers in Python

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

⭐ SLAM, Pose/Object tracking, Depth/Disparity/Flow Estimation, 3D-graphic, etc. related papers and code

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

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

YOLOv2 and MobileNet_SSD detection algorithms used along with KCF object tracker

[CVPR'16] Staple: Complementary Learners for Real-Time Tracking"

This is the python implementation of single object tracking from GOTURN paper

An extensive ROS toolbox for object detection & tracking and face/action recognition with 2D and 3D support which makes your Robot understand the environment

A tensorflow implementation with SSD model for person detection and Kalman Filtering combined for tracking

Deep Object Tracking Implementation in Tensorflow for 'Action-Decision Networks for Visual Tracking with Deep Reinforcement Learning(CVPR 2017)'

A multi-purpose Video Labeling GUI in Python with integrated SOTA detector and tracker

Hierarchical Attentive Recurrent Tracking

Monocular multi-object tracking using simple and complementary 3D and 2D cues (ICRA 2018)

People detection and optional tracking with Tensorflow backend.

Odin: Pose estimation-based tracking and counting of people in videos

记录每天整理的视觉目标跟踪论文

Color tracking with OpenCV

PyTorch implementation of GOTURN object tracker: Learning to Track at 100 FPS with Deep Regression Networks (ECCV 2016)

A pytorch implementation of Detect and Track (https://arxiv.org/abs/1710.03958)

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

Bayesian multi-object tracking