botsort

BoxMOT: Pluggable Python and C++ SOTA multi-object tracking modules with support for axis-aligned and oriented bounding boxes

🔥 CVPR 2025 (Nashville TN, USA) - The 4th Anti-UAV Workshop & Challenge 🥉

juxtapose: Multi-Person Pose Tracking Inference SDK with RTMDet, YOLOv8, GDino, RTMPose (ONNX) & Trackers (ByteTrack & BotSORT) & Tapnet with custom ROIs + FastAPI GPU exe

End-to-end football computer-vision analytics: detection, tracking, dynamic teams & roles, pitch calibration, speed/distance, tactics, possession & an AI match report. YOLO11 + BoT-SORT.

Automated football tactical analysis system using Deep Learning and Object Tracking to extract real-time player stats, heatmaps, and passing networks directly from video.

Real-time YOLO detection, multi-object tracking, and interactive object locking with TensorRT—optimized for NVIDIA Jetson (ARGUS via GStreamer) and GPUs.

Robust Player Tracking & Behavior Analysis pipeline for SoccerNet Benchmark. Features YOLO11x, BoT-SORT (GMC), and Adaptive Field Masking. Artificial Vision Project 2025/26 @ Unisa.

📹 [Video] Real-time multi-face tracking using MTCNN and BoxMot

Multi-object tracking system for retail environments using YOLOv12, BoT-SORT, and homography-based cross-camera re-identification. Features post-processing heuristics and spatiotemporal matching for robust visitor trajectory generation.

In computer vision, this project meticulously constructs a dataset for precise 'Shoe' tracking using YOLOv8 models. Emphasizing detailed data organization, advanced training, and nuanced evaluation, it provides comprehensive insights. A final project for the Computer Vision cousre on Ottawa Master's in (2023).

Computer vision pipeline for underwater object detection (mines, UUVs, divers) — custom YOLOv8 training with physics-based synthetic data generation and iterative hard-negative mining.

Real-time soccer player tracking & re-identification with YOLOv11, plus a benchmarked comparison of ByteTrack, BoT-SORT, DeepSORT, and Norfair on 720p/4K footage. Python · OpenCV · Ultralytics.

Real-time C++ multi-object tracker (BoTSORT + YOLOv8 kmodel) running natively on Kendryte K230 at 22 FPS under RTOS

An end-to-end AI-powered illegal parking detection and edge AI management system. It utilizes YOLO for object detection, BoT-SORT for robust tracking, and HyperLPR3 for license plate recognition. Built with a multi-process architecture and PyQt5, it enables real-time, low-latency traffic enforcement on edge devices

Real-time object detection and tracking system with YOLO11 and BoT-SORT

A practical comparison of modern multi-object tracking algorithms (ByteTrack, and BoT-SORT) on football videos using SSD300 and YOLO object detectors.

YOLO11 and BoT-SORT people-flow analytics for escalator direction counting.