A Novel Optimization Algorithm for Smart Video Surveillance System and Change Object Detection

Security has been a significant concern in every aspect of life. Traditional surveillance systems require a huge amount of storage capacity to save recorded videos. Moreover, as these systems are not fully automated, object detection and change detection need a lot of computational power in real-time surveillance. Finding a specific event or object in the recorded videos becomes more tedious and time-consuming. Since the last decade, researchers and developers have been working on the optimization and improvement of surveillance systems. This paper mainly focuses on surveillance system optimization by presenting an algorithm that not only optimizes objects and change detection but also requires comparatively less time in searching for a particular object from the library of recorded videos. The paper also presents a software application that offers various unique features such as searching for a specific object and on-time notification on targeted object detection.