Semi-supervised neural network training method for fast-moving object detection

Abstract

A semi-supervised training method for detecting insects in motion without explicit motion stabilization is presented. The algorithm is tested on video recordings of bees with the goal of detecting positions of the insects mid-flight, without preprocessing and with a single neural network, to obtain a heat map of trained bees’ motions in order to detect locations of landmines.