A Detailed Review on Object Detection Algorithms

Abstract

Nowadays., object detection has become very crucial in the area of computer vision. Many day-to-day activities require the use of technology that can help in vigilance such as traffic rules violations., road safety., etc. The detection techniques work on the images or videos and act as a model that provide the required area of interest from that input media. To solve these existing problems., different algorithms are available to perform object detection. This study focuses on reviewing the available algorithms to assist in the detection of object based on time and accuracy. The end result will help to identify the best available algorithm that can achieve faster object detection. The algorithms taken for the review process are CNN (Convolutional Neural Networks)., RCNN., Fast CNN., Faster RCNN., Single shot., YOLO (You Only Look Once).