HOG based object detection and classification

  • Authors

    • N Venkateswara Rao
    • G Anil Kumar
    • B Harish
    2018-06-21
    https://doi.org/10.14419/ijet.v7i3.3.15585
  • Object Detection, Object Classification, “Histogram of Oriented Gradient (HOG)”, “Support Vector Machine” (SVM).

  • Abstract

    The intension of the project is to classify objects in real world and to tracks them throughout their life spans. Object detection algorithms use feature extraction and learning algorithms to classification of an object category. Our algorithm uses a combination of “histogram of oriented gradient†(HOG) and “support vector machine†(SVM) classifier to classify of objects. Results have shown this to be a robust method in both classifying the objects along with tracking them in real time world.

     

     

  • References

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  • How to Cite

    Venkateswara Rao, N., Anil Kumar, G., & Harish, B. (2018). HOG based object detection and classification. International Journal of Engineering & Technology, 7(3.3), 151-155. https://doi.org/10.14419/ijet.v7i3.3.15585

    Received date: 2018-07-13

    Accepted date: 2018-07-13

    Published date: 2018-06-21