Human Body Orientation Estimation using Convolutional Neural Network

  title={Human Body Orientation Estimation using Convolutional Neural Network},
  author={Jinyoung Choi and Beom-Jin Lee and Byoung-Tak Zhang},
— Personal robots are expected to interact with the user by recognizing the user's face. However, in most of the service robot applications, the user needs to move himself/herself to allow the robot to see him/her face to face. To overcome such limitations, a method for estimating human body orientation is required. Previous studies used various components such as feature extractors and classification models to classify the orientation which resulted in low performance. For a more robust and… CONTINUE READING


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