Orientation Histograms for Hand Gesture Recognition

    •  William T. Freeman, Michal Roth, "Orientation Histograms for Hand Gesture Recognition", Tech. Rep. TR94-03, Mitsubishi Electric Research Laboratories, Cambridge, MA, December 1994.
      BibTeX TR94-03 PDF
      • @techreport{MERL_TR94-03,
      • author = {William T. Freeman, Michal Roth},
      • title = {Orientation Histograms for Hand Gesture Recognition},
      • institution = {MERL - Mitsubishi Electric Research Laboratories},
      • address = {Cambridge, MA 02139},
      • number = {TR94-03},
      • month = dec,
      • year = 1994,
      • url = {}
      • }
  • Research Area:

    Computer Vision

We present a method to recognize hand gestures, based on a pattern recognition technique developed by McConnell [16] employing histograms of local orientation. We use the orientation histogram as a feature vector for gesture classification and interpolation. For moving or \"dynamic gestures\", the histogram of the spatio-temporal gradients of image intensity form the analogous feature vector and may be useful for dynamic gesture recognition.