Detection of a Fallen Person and its Head and Lower Body from Aerial Images

Abstract

This paper proposes a method of detecting a person fallen on the ground and its head and lower body from aerial images. The study intends to automate discovering victims of disasters such as earthquakes from areal images taken by an unmanned aerial vehicle ( UAV ) . Rotation-invariant histogram of oriented gradients and rotation-invariant local binary pattern are used as features describing a fallen person so as to detect it regardless of its body orientation. The proposed method also detects the head and the lower body of a fallen person using the peak of the gradient histogram. Experimental results show satisfactory performance of the proposed method.