Accuracy Improvement of Human Tracking in Aerial Images Using Error Correction Based on Color Information
Pages 124 - 128
Abstract
The authors are trying to construct a real-time vital sensing system during exercise where humans wearing sensor nodes move quickly and their density becomes sometimes higher. In this case, existing multi-hop networking using RSSI or GPS to gather vital signs exercisers may not work appropriately. To solve this problem, the authors are proposing image-assisted routing (shortly IAR) that estimates the locations of sensor nodes by image processing. This paper proposes a tracking scheme with error correction based on color information, which is indispensable for IAR. Experimental results using actual images taken from a UAV showed that the proposed scheme achieved accurate tracking using only simple operations without sophisticated state estimation and computationally exhaustive deep learning: MT reached 100% by the proposed scheme.
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Index Terms
- Accuracy Improvement of Human Tracking in Aerial Images Using Error Correction Based on Color Information
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Published In
February 2020
382 pages
ISBN:9781450376655
DOI:10.1145/3384544
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Published: 17 April 2020
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ICSCA 2020
ICSCA 2020: 2020 9th International Conference on Software and Computer Applications
February 18 - 21, 2020
Langkawi, Malaysia
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