IEIE Transactions on Smart Processing and Computing

The Institute of Electronics and Information Engineers (대한전자공학회)
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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)
  • Received : 2014.02.20
  • Accepted : 2014.08.28
  • Published : 2014.12.31
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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.

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References

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