Stingray detection of aerial images with region-based convolution neural network
Chien‐Hung Chen, Keng-Hao Liu · 2017
The image processing technologies have become a popular tool for biological related researches. In order to detect the specific animal from aerial videos, this paper attempts to use the region-based convolution neural network to implement stingray detection on aerial images obtained by UAV. The experimental shows that using Faster R-CNN algorithm as the target detector can achieve good detection accuracy with short computing time. It suggests that deep learning-based methods have considerable potential to aid real-time applications.