Smorodov/Multitarget-tracker

Health v2 · maintenance only

Adoption not part of the score

2415 stars · 670 forks observed · 2026-08-28

What it is AI-extracted, prompt v1, taxonomy v1, 2026-08-30, confidence not recorded

A C++ library for multiple object tracking that combines detectors (YOLO, D-FINE, RF-DETR, MobileNet-SSD) with tracking algorithms based on the Hungarian algorithm and Kalman filters. It supports vehicle and pedestrian tracking, counting, and runs detectors via ONNX and TensorRT.

Use cases

• track cars in traffic video
• count vehicles crossing a line
• track people in surveillance footage
• run yolo detection with tracking in c++
• detect and track objects with tensorrt
• track faces across video frames
• detect abandoned objects in video

When to choose

• you need a C++ multi-object tracker with modern YOLO/DETR detector support
• you want vehicle or pedestrian counting on CPU/GPU with TensorRT acceleration
• you need Hungarian/Kalman or ByteTrack tracking integrated with detectors

When to avoid

• you want a Python-only tracking pipeline
• you need a turnkey end-user application rather than a library to integrate
• your project is not C++/OpenCV based

Facets

library · maturity active

computer-vision image-processing machine-learning computer-vision artificial-intelligence cpp windows cross-platform object-tracking kalman-filter hungarian-algorithm multi-object-tracking yolo tensorrt opencv bytetrack vehicle-counting people-tracking video linux macos

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markdown · JSON · MCP: product_card(name="Smorodov/Multitarget-tracker")