Description
Our tracker, CenterTrack, applies a detection model to a pair of images and detections from the prior frame. Given this minimal input, CenterTrack localizes objects and predicts their associations with the previous frame. That's it. CenterTrack is simple, online (no peeking into the future), and real-time.
Papers Using This Method
PlantTracing: Tracing Arabidopsis Thaliana Apex with CenterTrack2024-05-18MotionTrack: End-to-End Transformer-based Multi-Object Tracing with LiDAR-Camera Fusion2023-06-29TransFiner: A Full-Scale Refinement Approach for Multiple Object Tracking2022-07-26SIMBAR: Single Image-Based Scene Relighting For Effective Data Augmentation For Automated Driving Vision Tasks2022-04-01DanceTrack: Multi-Object Tracking in Uniform Appearance and Diverse Motion2021-11-29Multiple Object Tracking with Mixture Density Networks for Trajectory Estimation2021-06-21Multi-object Tracking with Tracked Object Bounding Box Association2021-05-17Learning to Track with Object Permanence2021-03-26A Deep Learning Bidirectional Temporal Tracking Algorithm for Automated Blood Cell Counting from Non-invasive Capillaroscopy Videos2020-11-26Simple Unsupervised Multi-Object Tracking2020-06-04Tracking Objects as Points2020-04-02