Virtual Marker Tracking Developed
This is a Japan news story, published by Phys Org, that relates primarily to Doshisha University news.
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Social LEAP Estimates Animal PosesPhys Org
•Science
Science
Virtual markers enable highly accurate multi-animal pose tracking in crowded environments

93% Informative
Traditional multi-animal tracking systems use frame-by-frame identification to predict movements without the need for markers.
Traditional tools effectively track poses, such as head direction, in simple scenarios.
However, they become ineffective in crowded environments where animals cluster or obscure each other.
Doshisha University , Japan , developed a method called " Virtual Marker Tracking " (vmTracking) that assigns virtual markers to the markerless animal video subjects to enable consistent identification.
VR Score
96
Informative language
98
Neutral language
66
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formal
Language
English
Language complexity
85
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Attention-grabbing headline
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Known propaganda techniques
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Time-value
long-living
External references
5
Source diversity
5
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