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Non-Invasively Tracking an Arbitrary Deformable Object Through Scattering Media and Around Corners via Speckle
Aiping Zhai1,2, Wenjing Ji1, Yan Wang1
1College of Physics and Optoelectronics Engineering, Taiyuan University of Technology, Yingze, P. R. China.
Advanced Science (Weinheim, Baden-Wurttemberg, Germany)
|April 4, 2026
Summary
This study introduces a novel method to track deformable objects behind scattering media without prior information. The speckle correlation centroid localization method (SCCLM) successfully reconstructs object trajectories, even with changing shapes.
Area of Science:
- Optics
- Image Processing
- Biomedical Engineering
Background:
- Tracking hidden objects is crucial in various fields.
- Existing methods for tracking behind scattering media have limitations, often requiring invariant object shapes or prior information.
Purpose of the Study:
- To propose a non-invasive method for tracking moving deformable objects behind or inside scattering media and around corners.
- To achieve tracking without requiring any prior information about the object.
Main Methods:
- Speckle correlation centroid localization method (SCCLM).
- Capturing speckle patterns at different moments.
- Determining relative centroid displacements by locating centroids of speckle auto-correlation (SAC) and speckle cross-correlation (SCC).
- Reconstructing object trajectories by superimposing displacements.
Main Results:
- SCCLM successfully tracks hidden deformable objects beyond the memory effect region.
- The method accommodates objects that scale, rotate, stretch, and change shape.
- Effective tracking demonstrated through dynamic scattering media (e.g., chicken breast tissue) and around corners.
- Robustness shown even in complex scenes with multiple objects.
Conclusions:
- SCCLM offers a versatile and non-invasive solution for tracking deformable objects in challenging environments.
- The method overcomes limitations of previous techniques by not requiring prior object information or shape invariance.
- This technique has broad applicability in fields requiring hidden object tracking.

