Real-time Panorama Stitching using a Single PTZ-Camera without using Image Feature Matching

In surveillance applications one thing to consider is how much of a scene one can cover with a camera. One way to augment this is to take images with overlap and blend them, creating a new image with bigger field of view and thereby increase the scene coverage. In this thesis work we have been looking at how one can create panorama images with a pan-tilt-camera and how fast it can be done. We chose a circular panorama representation for this. Our approach was that gathering enough metadata from the camera one can rectify the gathered images and blend them without matching feature-points or other computationally heavy operations. We show that this can be done. The images gathered was corrected for lens distortions and rolling shutter effects arising from rotating the camera. Attempts where made to find an opti-mal path for the camera to follow while capturing images. An algorithm to do intensity corrections of the images was also implemented