A Comprehensive Review on Real Time Object Detection using Deep Learing Model

Pankaj Kumar Goswami, Garima Goswami

202211 citationsDOI

Abstract

Object recognition is a technique to identify and detect distinguish objects in complexed background images and videos. The technique is typically based on machine learning or deep learning to obtain the accurate performances. When an image or video is observed, the object they are interested in is immediately recognized and identified. The goal of object recognition is to use a computer to replicate this intelligence. The natural progression of image classification is the classification and localization of the subject of the image. This work analyses the most recent techniques used for the object detections and gives a complete insight about the possible upcoming advancements in deep learning model with improved detection accuracy.

Topics & Concepts

Artificial intelligenceComputer scienceObject detectionObject (grammar)Deep learningComputer visionCognitive neuroscience of visual object recognitionReplicatePattern recognition (psychology)Image (mathematics)Viola–Jones object detection frameworkContextual image classification3D single-object recognitionMachine learningFace detectionFacial recognition systemMathematicsStatisticsAdvanced Neural Network ApplicationsVideo Surveillance and Tracking MethodsCOVID-19 diagnosis using AI