BoxMOT
Pluggable SOTA multi-object tracking modules for segmentation, object detection, and pose estimation models.
24d ago
Best for General AI
PricingFree
Free
Multi-Object Tracking
Object Detection
Pose Estimation
BoT-SORT
Robust Associations Multi-Pedestrian Tracking using motion and appearance information with camera-motion compensation.
Data
Good for
Multi-Object TrackingPedestrian Tracking
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About BoT-SORT
BoT-SORT is a state-of-the-art multi-object tracker designed for detecting and tracking objects in a scene, maintaining unique identifiers for each. It combines motion and appearance information with camera-motion compensation and an accurate Kalman filter. BoT-SORT and BoT-SORT-ReID trackers excel in MOTChallenge datasets, achieving top ranks in MOTA, IDF1, and HOTA metrics. It leverages YOLOX and YOLOv7 for object detection and supports multi-class tracking. The architecture facilitates camera motion compensation using OpenCV's VideoStab Global Motion Estimation. Installation involves setting up a Conda environment, installing PyTorch, and using pip to install necessary packages and dependencies like ByteTrack and FastReID.
Core Capabilities
BoT-SORT is a state-of-the-art multi-object tracker designed for detecting and tracking objects in a scene, maintaining unique identifiers for each.
