Authors : Israa Hadi Ali and Qasim Jaleel
Abstract: One of the main problems of the video processing is a blur, since, the blur makes the target is non-clear. This research focus on the intentional blur of the target. Intentional blur is concentrated on the way of the application programs in order to create a blur to hide the target. This application programs may have weaknesses for covering the target. Some time, the blurring is not covering all target in the video where parts of the target may have appeared in serial of frames in that video. The proposed method is implemented in two stages. Firstly, tracking of the target using "mean shift" technique for finding parts of the target that might appear. Secondly, the stage is stitching of parts using Harris corner detector. High accuracy have been proved in the results when the parts have overlap between them.
Israa Hadi Ali and Qasim Jaleel, 2018. Recovering Blur Target of Video Using Mean Shift Tracking and Harris Corner Detector. Journal of Engineering and Applied Sciences, 13: 4712-4719.