Multiple Object Tracker, Based on Hungarian algorithm + Kalman filter.
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Updated
Nov 3, 2025 - C++
Multiple Object Tracker, Based on Hungarian algorithm + Kalman filter.
Joint Detection and Embedding for fast multi-object tracking
C++ implementation to Detect, track and classify multiple objects using LIDAR scans or point cloud
[CVPR'23] Universal Instance Perception as Object Discovery and Retrieval
[ECCV'22 Oral] Towards Grand Unification of Object Tracking
Library for tracking-by-detection multi object tracking implemented in python
[AAAI 2024] UCMCTrack: Multi-Object Tracking with Uniform Camera Motion Compensation. UCMCTrack achieves SOTA on MOT17 using estimated camera parameters.
Multiple Object Tracking System in Keras + (Detection Network - YOLO)
[CVPR 2025] Multiple Object Tracking as ID Prediction
Cascade-RCNN+DeepSort MOTDT Trackor++
A multi object tracking Library Based on tensorrt
combine state of art deep neural network based detectors with most efficient trackers to solve motion based multiple objects tracking problems
Python package to label and track unique geospatial features from gridded datasets
Contains implementation of multi-threaded object detection followed by tracking
Анализ трафика на круговом движении с использованием компьютерного зрения
This is the official implementation of TransCenter (TPAMI). The code and pretrained models are now available here: https://gitlab.inria.fr/yixu/TransCenter_official.
Standalone ByteTrack in Python, extracted from official implementation with very few dependencies
source code for a Multiple Object Tracking Algorithm
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