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The Concept of Object Recognition

TLDR
Object recognition is a process of detecting the object present in an image or a video sequence, with the help of some recognition technique or methods withDepending on human perception what sort of output he needs, based on that, one can apply a particular technique.
Abstract
Object recognition is a process of detecting the object present in an image or a video sequence, with the help of some recognition technique or methods. Object recognition is one of the techniques of digital image processing where we can process any image by applying some of the operation. It actually depends on human perception that what sort of output he needs, based on that, one can apply a particular technique.

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Citations
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Proceedings ArticleDOI

Object recognition in images

TL;DR: This work aims at formulating a technique that consist of two stages- query image is categorized using a classifier and a k-nearest neighbour(kNN) classifier is implemented on the similarity matrix.
Proceedings ArticleDOI

Exploring online ad images using a clustering approach

TL;DR: This study looks at new qualities of ads that can be determined before an ad is shown (rather than online optimization) and defines which ad image's objects are most likely to be successful.
Journal ArticleDOI

Object Detection Using Region-Conventional Neural Network (RCNN) and OpenCV

TL;DR: In this paper , a detailed review has been carried out on object detection using region-conventional neural network (RCNN)-based learning systems for a real-world application and a prototype has been implemented on a Raspberry PI3 using OpenCV libraries.
Proceedings ArticleDOI

Exploring Online Ad Images using Deep-Learning Approach

TL;DR: In this research, a lot of calculations is presented that uses Artificial Intelligence to examine web-based ad and build object recognition models which can predict objects that are probably going to be in progressive advertisement image.
Proceedings ArticleDOI

U-NET and RCNN Ensembled Satellite Object Detection and Segmentation

TL;DR: In this paper , the authors give an overview that how satellite imagery helps us to detect objects from satellite images and further segment images from satellite image using machine learning algorithms like RCNN with RPN and U-NET.
References
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Journal ArticleDOI

An Automatic Algorithm for Object Recognition and Detection Based on ASIFT Keypoints

TL;DR: This paper presents a perfect method for object recognition with full boundary detection by combining affine scale invariant feature transform (ASIFT) and a region merging algorithm, which is very efficient and powerful to recognize the object and detect it with high accuracy.
Journal ArticleDOI

A Survey on Real Time Object Detection, Tracking and Recognition in Image Processing

TL;DR: The most objective of this review is to present an overview of the approaches used and also the challenges involved.
Proceedings ArticleDOI

Feature-based Object Recognition

TL;DR: A method for using characteristic aspects of the fingerprint, and geometrical relationships between them, to reduce an image to a set of simple geometric features, which allow for compact storage in a database and very fast scanning to create a short list of candidate matching objects.