Animal species recognition in the wildlife based on muzzle and shape features using joint CNN

Monitoring of animal behavior in the wild supposes the reliable techniques for their species recognition using, mainly, visual data captured by camera traps. In this paper, we propose to extent Convolutional Neural Network (CNN) VGG by three branches, two of which are VGG16 for the muzzle and part of shape recognition and one is VGG19 for the whole shape recognition. A necessity of such branched CNN structure is caused by great variety of the...