AutoSegment (OpenCV based) Files

- This project implements an enhanced version of the idea proposed in:
  http://www.ncc.org.in/download.php?f=NCC2005/S09-01.pdf
  "A NOVEL SCHEME FOR AUTOMATIC SEGMENTATION OF MOVING OBJECTS FROM VIDEO USING PRESTORED IMAGES"
  
  The aim is to learn the background of a scene (without objects), and use this learning to detect any moving objects in the scene.
  The method is fully automated. It does not require any parameters / variables to be input / tweaked.


About the zip file:
- The zip file contains a Windows executable bundled with required OpenCV2.1 dlls
- Requires access to camera (mapped to Cam 0)
- Tested working on Windows XP running on DELL Inspiron, and using integrated webcam
- Test procedure:
	- Confirm PC / laptop has a working camera
	- Run AutoSegment.exe
	- The first window (Original) comes up, displaying the image captured from the camera. 
	  Ensure that the camera "looks" at a static scene with no moaving objects.
	  Let it run for 10 seconds; this trains the algorithm. 
	- Now press 't' - this invokes the automatic segmentation. 
	  The result of the algorithm will be displayed in a new window (Segmented). 
	  Also displayed is a live "cluster plot" for the current image.
	- Press 'q' to quit segmentation and go back to Original.
	- Press 'q' in Original to exit.
	
Todo:
- Introduce file input
- Test on OpenCV2.2
- Optimize and improve frame-rate
- Enhance algorithm by using more inputs from cluster plot