title: Information Modeling
body: <ul>
  <li>The sensor module in my project consists of a <strong>rotating camera</strong>, that collects <strong>noisy</strong> information about <strong>moving objects</strong> in the surrounding environment. </li>
  <li>The information consists of <strong>distance</strong>, <strong>angle</strong> and <strong>relative change</strong> of the moving objects..</li>
  <li>The <strong>limiting view range</strong> of the camera makes it essential to rotate the camera periodically to update environment information... </li>
  </ul>
  
  <p>I was looking for <strong>algorithms / ways</strong> to model these information, in order to be able to <strong>guess / predict / learn</strong> motion properties of these object.. </p>
  
  <p>My current proposed idea is to store last n snapshots of each object in a queue. I take weighted average of positions and velocities of moving object, but I think it is a poor method...</p>
  
  <p><strong>Can you state some titles that suit this case?</strong></p>
  
  <p>Thanks</p>