Deep Learning-Based Person Detection and Classification for Far Field Video Surveillance

This paper presents a deep learning-based approach to detect and classify persons in video data captured from distances of several miles via a high-power lens video camera. For detection, a set of computationally efficient image processing steps are considered to identify moving areas that contain a person. These areas are then passed onto a convolutional neural network classifier whose convolutional layers consist of the GoogleNet transfer...