CCTV cameras are commonly used for security issues. Pan-tilt-zoom (PTZ) cameras are mostly used for this purpose. To stitch two or more video streams from different cameras is much cheaper than PTZ solution. There are three stages of video stitching. Feature identification is the first stage of video stitching. To scale the invariant features like rotation, scaling and noise etc. Direct and feature base identification has basically two types of feature identification. Shifting and warping the images purpose to identify how these features are agreeing with each other is the main concern for direct base identification. While feature identification rely on extracting the features and then perform matching among them on the base of features. Calibration is the second stage of the video stitching. The images are stitch in panoramic way in calibration depending upon alignment among them. Blending is the last stage of video stitching where numerous videos are display in single panoramic way. Any blending algorithm is used to blend the pixels together and for final view.