Enhancing Long-Duration Multi-Person Tracking in Hospitality Settings Through Random-Skip Sub-Track Correction
Long-duration customer monitoring with overhead cameras is essential for service analytics in restaurants and cafés, yet state-of-the-art multi-object trackers still suffer from track fragmentation whenever individuals are briefly missed or occluded during multi-hour recordings. We introd...
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| Main Authors: | , , |
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| Format: | Article |
| Language: | English |
| Published: |
IEEE
2025-01-01
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| Series: | IEEE Access |
| Subjects: | |
| Online Access: | https://ieeexplore.ieee.org/document/11115046/ |
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