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A Framework for Detecting and Tracking Elephants in Drone Videos

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This framework uses drone video analysis to detect and track elephants, suggesting innovative conservation techniques.

The framework captures and tracks individual elephants over time, improving conservation efforts.
Using YOLOv11 and BoT-SORT, the method enhances tracking accuracy, providing key insights into movements.
Automated analysis generates metrics like movement speed and group patterns, offering efficient wildlife monitoring.
This approach highlights the potential of drone technology in biodiversity conservation, aiding data-driven decisions.

Elchik et al. (2025) studied this question.

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View Full Paper

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Authors

This framework uses drone video analysis to detect and track elephants, suggesting innovative conservation techniques.

The framework captures and tracks individual elephants over time, improving conservation efforts.
Using YOLOv11 and BoT-SORT, the method enhances tracking accuracy, providing key insights into movements.
Automated analysis generates metrics like movement speed and group patterns, offering efficient wildlife monitoring.
This approach highlights the potential of drone technology in biodiversity conservation, aiding data-driven decisions.

Elchik et al. (2025) studied this question.

View Full Paper

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Bookmark