Comparative Study of Target Image Detection using Deep Learning

Abstract

The object detection and deep learning technology has certainly proven effective in surveillance systems, automated driving, and facial recognition. Today, computer vision has given an entirely new perspective. However, when it comes to targeting a particular object within a complex image or video footage, it may seem to be a major challenge. By the rapid developments in the area of computer vision, the detectors have certainly improved greatly. This study presents a comprehensive literature review of various object detection algorithms, and their challenges, including one-stage and two-stage detectors. Finally, based on the current development of target image detection, the future prospects of research have been stated.