title: What is best Real Time algorithms for image segmentation and object detection (indoor environment)?
body: <p>I want to segment indoor area and find objects. Then, I want to use stereo vision to find Cartesian position of objects. The final goal is picking objects on a table (and controlling the trajectory) by a robot.</p>
  
  <p>Example of object: chair, table, pen, syringe, stapler, cup, screw, toy doll, ruler, small box, milk, fruits, ....</p>
  
  <p>My first priority is being real time (10 Hz).</p>
  
  <p>I use ZED Stereo Camera to capture images in windows 10 64 bit, MATLAB 2016b 64 bit, on Intel core i7-3820 (3.6 GHz).</p>
  
  <p>The camera output is color 720x2560 pixel which is combination of two (right and left image) 720x1280.</p>
  
  <p>I prefer to use unsupervised algorithms for finding position of unknown object on table. However, it should be down in real time. If it is no possible in real time, I will degrade my expectation and will use supervised algorithms to find predefined object.</p>