[KSCI] Korea Science Citation Index Service

http://dx.doi.org/10.5573/IEIESPC.2014.3.6.366

Wild Image Object Detection using a Pretrained Convolutional Neural Network

Park, Sejin (Department of Computer Science and Engineering, Hanyang University)
Moon, Young Shik (Department of Computer Science and Engineering, Hanyang University)

Publication Information

IEIE Transactions on Smart Processing and Computing / v.3, no.6, 2014 , pp. 366-371 More about this Journal

Abstract

This paper reports a machine learning approach for image object detection. Object detection and localization in a wild image, such as a STL-10 image dataset, is very difficult to implement using the traditional computer vision method. A convolutional neural network is a good approach for such wild image object detection. This paper presents an object detection application using a convolutional neural network with pretrained feature vector. This is a very simple and well organized hierarchical object abstraction model.

Keywords

Image object detection; Machine learning; Deep learning; Convolutional neural network;

Citations & Related Records

Reference

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