Multi-perspective monitoring of wildlife and human activities from camera traps and drones with deep learning models
The study used camera traps and drones with deep learning models to monitor wildlife and human activities in Chitwan National Park. They found human-wildlife conflicts by combining YOLOv11s for camera trap images and an enhanced Faster R-CNN for drone thermal imagery. This multi-perspective approach helps identify conflict zones to inform better conservation planning.