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Convert measurements/README.md from ASCII log format to clean markdown
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Subjects: Three actors — T (target), D1 (decoy 1), D2 (decoy 2). All three
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wear visually identical outfits so they look similar in the RGB projection
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of the hyperspectral cube. T wears a garment made of a material that looks
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distinct in CIR (colour infrared). This CIR difference is the spectral cue
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the tracker is expected to exploit.
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Passive phase: Actors walk in single file toward or away from the camera,
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occluding one another along the optical axis. A visible-only tracker tends
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to swap IDs in this setting; hyperspectral cues should preserve the
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correct lock.
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Active phase: While on camera, T carries a bottle of "invisible" ink that
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is visible only in specific spectral bands and sprays D1 with it. The
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spray adds a trackable spectral signature to D1 mid-recording. After
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marking, the three actors walk out of the scene from the opposite side,
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so the tail of the take shows the post-marking state.
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[ CREDITS & REFERENCES ]
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-------------------------------------------------------------------------------
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Recorded and processed by the AI Team@Cubert <cuvis.ai@cubert-gmbh.de>.
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Dataset page : https://huggingface.co/datasets/cubert-gmbh/XMR_Demo_Object_Tracking
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-------------------------------------------------------------------------------
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END OF LOG | Cubert Hyperspectral Systems
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===============================================================================
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# Hyperspectral Data Log
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**Project:** Distridays UseCase 1
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**Date:** 2026-04-24
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**Operator:** Development Team at Cubert
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---
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## Hardware
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| Field | Value |
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|-------|-------|
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| Camera | Ultris XMR |
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| Lens | 50 mm / f2.0 |
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| Accessories | None |
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---
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## Setup & Lighting
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| Field | Value |
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|-------|-------|
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| Light source | Sunlight |
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| Distance | ~100 m |
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| Notes | Busy bus station. Human actors with similar outfits looking different in spectral view. |
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---
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## Acquisition Settings
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| Field | Value |
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|-------|-------|
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| Measurement mode | Video |
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| Integration time | 17 ms |
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| Frame rate | 15 fps |
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| White reference | None |
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| Dark current | Recorded |
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---
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## Scene Description
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**Object type:** Human (complex scene)
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**Goal:** Demonstrate that hyperspectral features beyond the visible spectrum improve person tracking in a crowded scene — fewer false ID switches and more reliable lock on the correct person than an RGB-only tracker can achieve.
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**Setting:** Outdoor bus station with a busy pedestrian background. Camera on a static tripod roughly 100 m from the subject area, pointing at a section where pedestrians pass and wait. Hyperspectral data cube captured in video mode; spectral bands beyond the visible are exploited as tracking cues.
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**Subjects:** Three actors — T (target), D1 (decoy 1), D2 (decoy 2). All three wear visually identical outfits so they look similar in the RGB projection of the hyperspectral cube. T wears a garment made of a material that looks distinct in CIR (colour infrared). This CIR difference is the spectral cue the tracker is expected to exploit.
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**Passive phase:** Actors walk in single file toward or away from the camera, occluding one another along the optical axis. A visible-only tracker tends to swap IDs in this setting; hyperspectral cues should preserve the correct lock.
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**Active phase:** While on camera, T carries a bottle of "invisible" ink that is visible only in specific spectral bands and sprays D1 with it. The spray adds a trackable spectral signature to D1 mid-recording. After marking, the three actors walk out of the scene from the opposite side, so the tail of the take shows the post-marking state.
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---
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## Credits
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Recorded and processed by the [AI Team@Cubert](mailto:cuvis.ai@cubert-gmbh.de).
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Dataset page: <https://huggingface.co/datasets/cubert-gmbh/XMR_Demo_Object_Tracking>
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