A proof-of-concept UAV system integrates YOLOv2 detection, dual-stream navigation CNN, and InceptionV3 LRCN to achieve error-free identification of 17 individual cattle over 146.7 minutes of autonomous low-altitude flight.
Development of pat- tern recognition algorithm for automatic bird detection from unmanned aerial vehicle imagery,
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Aerial Animal Biometrics: Individual Friesian Cattle Recovery and Visual Identification via an Autonomous UAV with Onboard Deep Inference
A proof-of-concept UAV system integrates YOLOv2 detection, dual-stream navigation CNN, and InceptionV3 LRCN to achieve error-free identification of 17 individual cattle over 146.7 minutes of autonomous low-altitude flight.