Back to search

Article

vmTracking: Virtual Markers Overcome Occlusion and Crowding in Multi-Animal Pose Tracking

2024-02-07

Abstract excerpt

In multi-animal tracking, addressing occlusion and crowding is crucial for accurate behavioral analysis. However, in situations where occlusion and crowding generate complex interactions, achieving accurate pose tracking remains challenging. Therefore, we introduced Virtual marker tracking (vmTracking), which uses virtual markers for individual identification. Virtual markers are labels derived from conventional m...

Topics

Open a Topic to create a Post that cites this publication.

Identifiers and source

Literature Corpus work
2eec690b-c16a-5792-b742-a2a9befc9e86
DOI
10.1101/2024.02.07.579241
Open publication

Related research

Semantic proximity does not establish scientific evidence.

Click a neighbor to travelStep 1 · 12 closest
Interactive article relationship graphSelect a related publication card to move it into the centre and load its closest explainable connections. Solid lines are source-backed structured connections. Dashed lines are semantic discovery signals and are not scientific evidence.
vmTracking: Virtual Markers Overcome Occlusion and Crowding in Multi-Animal Pose TrackingDOI 10.1101/2024.02.07.579241
Select a neighboring publication to make it the new centre.