Object Detection Using Omnidirectional Camera

Abstract

Object detection is a technology for detecting objects in images or videos. In this research, we implemented an object detection system using an omnidirectional camera as a crucial source of information in object detection systems, especially in real-time applications. Color spaces, thresholding, and morphological transformations were used as object detection methods, and the omnidirectional camera configuration transformed the view into a panorama. The evaluation results demonstrate that this system can detect objects and their distance in real-time. The conclusion of this study is that the object detection system with an omnidirectional camera, which transforms its view into a panorama, provides high accuracy and wide viewing flexibility.