Paper

Dynamic center point learning for multiple object tracking under Severe occlusions

Published Jun 1, 2024 · Yaoqi Hu, Axi Niu, Jinqiu Sun

Knowl. Based Syst.

Citations

Influential Citations

Abstract

Abstract hidden due to publisher request; this does not indicate any issues with the research. Click the full text link above to read the abstract and view the original source.

Study Snapshot

Our Dynamic-Center-Point-based Multiple Object Tracking method (DCP-MOT) improves tracking performance under severe occlusions compared to bounding box center based SOTA.

PopulationOlder adults (50-71 years)

Sample size24

MethodsObservational

OutcomesBody Mass Index projections

ResultsSocial networks mitigate obesity in older groups.

Dynamic center point learning for multiple object tracking under Severe occlusions

References

Citations