Video Summarization: Correlation for Summarization and Subtraction for Rare Event
Author(s):
Lijitha Govindankutty , SIES Graduate School of Technology, Navi Mumbai; Namrata Patel, SIES Graduate School of Technology, Navi Mumbai; Aashika Balakrishnan, SIES Graduate School of Technology, Navi MumbaiKeywords:
video summaries, video processing, video skimming, image processingAbstract:
The ever increasing number of surveillance camera networks being deployed all over the world has not only resulted in a high interest in the development of algorithms to automatically analyze the video footage, but has also opened new questions as how to efficiently manage the vast amount of information generated. The user may not have sufficient time to watch the entire video or the whole of video content may not be of interest to the user. In such cases, the user may just want to view the summary of the video instead of watching the whole video. In this paper, we present a video summarization technique developed in order to efficiently access the points of interest in the video footage. The technique aims to eliminate the sequences which contain no activity of significance. 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. The proposed method is extended to obtain rare event detection for security systems. These rare event detections refer to suspicious scenarios. The system will consider a particular frame of interest from a video footage taken at given time and search for actions from video footages across the particular area of interest specified by the user. The user is then notified about the objects and actions occurred in the area of interest. This helps in detecting suspicious behavior that would have otherwise been deemed unsuspicious and gone unnoticed in the context of a narrow timeframe.
Other Details:
| Manuscript Id | : | J4RV2I2019 |
| Published in | : | Volume : 2, Issue : 2 |
| Publication Date | : | 01/05/2016 |
| Page(s) | : | 61-65 |
