A Study on Object Detection Using Computer Vision Techniques

Abstract

Object detection is a method used in computer vision. Finding a specific object in a series of images or videos is the process of detection. Several contributions for foreground detection and tracking have recently been proposed and effectively demonstrated. The primary problem in motion tracking algorithms is estimating object motion as precisely and efficiently and feasible. Moving object detection is critical in all surveillance applications, including video analysis, video communication, traffic management, medical imaging, and military duty. For identifying objects, we employed Computer Vision methods such as Single Shot Detection and Neural Network Algorithms. Some of the most powerful tools in machine learning and artificial intelligence are object detection algorithms for computer vision problems. These are judgement algorithms that allow computer systems to draw conclusions about the real world as seen via a camera. Robots that move items, autonomous vehicles, and picture classification software would be very difficult to develop without object recognition.