A Novel Approach For Privacy Preserving Videosharing And Merging

In present days rapid growth of internet has paved a path for increased utilization of distributed applications. The number of applications aredrastically increased for a distribution of video information to various places. In recent years, videos are also playingmajor role at various surveillance applications. Hence, propose a novel approach to share the videos to various places while providing privacy.In this paper we used an efficient algorithm to merge the given video. This method provides various parameters to preserve the privacy and accuracy. Our proposed framework is highly efficient than various existing approaches like Smart Cameras, Homomorphic Encryption and Secure Multi-Party computation to carry out privacy preserving video surveillance. This work opens up a new avenue for practical and provably secure implementations of vision algorithms. The proposed system along with motion segmentation results will be used to detect and track peoples or