Abstract—The last two decades have witnessed a tremendous growth in the field of computer vision. Video Summarization is one of the hot research area in the field of Computer Vision. Since the quality of videos is increasing day by day and so the requirements to save storage space and transmission bandwidth Researchers have been proposing efficient and intelligent solutions for video summarization. The proposed theft prevention algorithm is an extension of the earlier effort we put towards the objective of proposing an intelligent and efficient algorithm designed for video summarization. Security cameras are widely used for security purposes and to detect any illegal movement inside or outside the campus. These cameras are backbone of modern security infrastructure in any critical or security sensitive organization e.g defense sector, education sector, hospitals etc. The system being developed actually captures each frame from the video, then it processes the frame, if the frame is of its interest, it retains the frames otherwise it discards the frame, hence the resultant video is very short and it only contains those frames in which a human being is carrying an object of our interest, ie a Laptop, Projector and a PC in our case. Apart from summarization the system also generate an alarm in the form of a beep whenever it captures a frame in which there is a person carrying a specific object which is basically an alert to prompt security officials about an illegal movement in the surroundings.
Index Terms—Video Skims, Background Estimation, Bounding Box, Normalization, Convolution
The authors are with the Department of Software Engineering, Faculty of Telecommunication and Information Engineering, University of Engineering & Technology, Taxila (e-mail: firstname.lastname@example.org).
Cite: Ali Javed and Sidra Noman, "AJ Theft Prevention Alarm Based Video Summarization Algorithm," International Journal of Information and Education Technology vol. 2, no. 1, pp. 23-28, 2012.