title: Real time tracking of hand
body: <p>I am trying to detect and track hand in real time using opencv. I thought haar cascade classifiers would yield a fair result. After training with 10k and 20k positive and negative images respectively, I obtained a classifier xml file. Unfortunately, it detects hand only in certain positions, proving that it works best only for rigid objects. So I am now thinking of adopting another algorithm that can track hand, once detected through haar classifier.</p>
  
  <p>My question is,if I make sure that haar classifier detects hand in a certain frame, certain position, what method would yield robust tracking of hand further?</p>
  
  <p>I searched web a bit, and have understood I can go for optical flow of the detected hand , or kalman filter or particle filter, but also have come across their own disadvantages.</p>
  
  <p>also, If I incorporate stereo vision, would it help me, as I can possibly reconstruct hand in 3d.</p>