DRT Tracker.pdf

0148.pdf
Preview of DRT Tracker
🔗 Source: bmvc2021-virtualconference.com
📊 Size: 1.43 MB
📄 Pages: 14 pages
⬇️ Downloads: 314

Summary

DRT (Detection Refinement for Tracking) is proposed to address inaccurate and missing detections in multiple object tracking, particularly in crowded scenes. It consists of an encoder-decoder convolutional network (DRT-net) with two side branches and an LSTM-based motion model. DRT-net refines detection results and recovers occluded pedestrians, while the motion model recovers lost targets at a negligible computational cost. The method achieves significant improvements on publicly available MOT datasets and generalizes well to any detector.

Description

DRT (Detection Refinement for Tracking) is proposed to address inaccurate and missing detections in multiple object tracking, particularly in crowded scenes.

Technical Information

  • File Format: PDF
  • File Size: 1.43 MB
  • Pages: 14
  • Language: EN
  • Total Downloads: 314
  • Last Updated: 14 hours ago

Document Overview

This PDF document about DRT Tracker provides comprehensive information and guidance. Whether you're a beginner or advanced user, this resource offers valuable insights into DRT Tracker.

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