Object detection techniques for real-time applications

Abstract

Object detection is a method of identifying and locating items in a continuous image or video stream using computer vision. Background subtraction, optical flow, and frame difference are object detecting approaches. In this study, we will explore Object Detection Algorithms, such as Convolutional Neural Network algorithm families (CNN, R-CNN, Fast R-CNN, Faster R-CNN) and YOLO as well as associated applications and frameworks. Object Detection Algorithms will be used by real-time applications and will get their goals.This book chapter discusses the Introduction about computer vision, object detection, object detection architectures, object detection methods, object detection techniques, applications of object detection, and implementation sources for object detection.

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