Detecting and Counting Small Animal Species Using Drone Imagery by Applying Deep Learning [chapter]

Ravi Sahu
2019 Visual Object Tracking in the Deep Neural Networks Era [Working Title]  
This work represents deep learning approach for detecting lizards on the summer grass background. It is the main part of general use case formulation-"how many animals are located now on this substitute habitat. Determine in which parts they prefer to stay". For this purpose, the U-Net architecture neural network was implemented. Dilated convolution layer was added to usual U-Net. Smoothly blending filter was applied to result probability patches for connecting them in one big probability map
more » ... thout sewed edges. Designed flexible architecture allows to train neural network for pixel-wise semantic segmentation with accuracy value 0.9863 on the tiny dataset.
doi:10.5772/intechopen.88437 fatcat:gw7lg757pjbavniheehbf6or3y