AI Paper Atlas

Research map / 3D vision / Depth and stereo

Tracking Multiple Objects Outside the Line of Sight Using Speckle Imaging

CVPR 2018 · 3D vision › Depth and stereo · approach: Non-line-of-sight imaging · 55 citations (OpenAlex)

Read the paperCheck your idea against 108,967 papers

AI-extracted summary. Written by AI from the paper's title only (no summary yet). Numbers and claims can be wrong or missing context, so check the paper before you cite or build on it.

Measured effects reported in the paper

What was changedWhereMeasuredEffect
Use speckle imaging and a diffuse wall as a virtual bare sensor to track a single hidden objectNLOS object tracking · NLOS single-object trajectoriestracking error: 4.5 µm, 9.5 µmHelped
Add clustering to assign speckle shift vectors to individual objectsNLOS multi-object tracking · NLOS multiple-object trajectoriestracking error: 5.4 µm, 10.2 µmHelped
Use PCA before clustering shifted speckle imagesNLOS multi-object tracking · NLOS multi-object clusteringclustering robustnessHelped
Track multiple objects using an unlabeled motion histogram rather than assigning shift vectors to objectsSpeckle-based multi-object tracking · Multiple independently moving objectsindividual trajectory recoveryHurt

Closest papers by meaning

Writing a paper in this area? scime draft is a free LaTeX editor with AI included, real-time co-authors and a check of your references and venue rules before you submit. It also imports OpenAI Prism projects.

Open scime draft

Get the next scime Dispatch and a monthly field update

Free. We send a confirmation link first; every email has a one-click unsubscribe. Privacy