Track-Anything is a flexible and interactive tool for video object tracking and segmentation, based on Segment Anything, XMem, and E2FGVI.
#计算机科学#Out-of-the-box code and models for CMU's object detection and tracking system for multi-camera surveillance videos. Speed optimized Faster-RCNN model. Tensorflow based. Also supports EfficientDet. WAC...
[NeurIPS'21] Unified tracking framework with a single appearance model. It supports Single Object Tracking (SOT), Video Object Segmentation (VOS), Multi-Object Tracking (MOT), Multi-Object Tracking an...
#计算机科学#[ECCV-20] Official PyTorch implementation of HoughNet, a voting-based object detector.
Object Detection in OBS, real-time, local, GPU optional
[CVPR 2024] Unified Multi-Sensor Tracker With One Parameter Set
ROS package for SOTA Computer Vision Models including SAM, Cutie, GroundingDINO, YOLO-World, VLPart, DEVA and MaskDINO.
Implementation of Lucas Kanade Tracking system using six parameter affine model and recursive Gauss-Newton process.
TrackGPT: Track What You Need in Videos via Text Prompts
#自然语言处理#Characterize Anything: A Wondrous Chemical Reaction between vision models and AI Characters
#计算机科学#[TPAMI-22] Bottom-up, voting based video object detection method
This project explores Lucas-Kanade algorithm to track an object in a video sequence
Python package for SOTA computer vision tasks.