title: Detection of static and dynamic pedestrians from sparse 3D point clouds
body: <p>I want to use point clouds to detect static and dynamic people. However, I use <strong>VLP-16</strong> and it is obvious the point clouds will be very sparse in the vertical direction.</p>
  <p>I have study related literatures such as use deep learning (PointNet, PointPillar, SECOND, PointRCNN...) or machine learning (SVM), but most methods not fit my need.</p>
  <p>Are there some methods that take my need (<strong>detect static and dynamic people use lidar only</strong>)?
  If so, could you possibly tell me how to achieve that?</p>
  <p>Any help is much appreciated. Thanks:)</p>