—With the continuous recording of video data in current surveillance systems, it is almost impossible to quickly identify frames where events of interest did occur within a camera scene. This paper presents the concept of Spatio-temporal Indexing, which is a novel video indexing and retrieval technique that can be used for event detection. Spatio-temporal Indexing allows the users to rapidly retrieve the video clips that contain events of interest from a given video library. The proposed indexing technique analyzes the video and stores the Spatio-temporal Indexes that will be further processed to retrieve video clips queried by users. The proposed technique was tested on hours of video recordings. The results obtained provide 99.9% accuracy for event detection and retrieval. The average processing time is 3 seconds to create index for 10 minutes of videousing Intel i5-2400 processor.
—Incident investigation, video indexing, video summarization, video retrieval.
The authors are with IntelliView Technologies Inc., 327-41 Avenue NE, Calgary, Alberta, Canada T2E 2N4 (e-mail: email@example.com, firstname.lastname@example.org, email@example.com, firstname.lastname@example.org).
Cite:Shan Du, Choudhury A. Rahman, Saika Sharmeen, and Wael Badawy, "Event Detection by Spatio-Temporal Indexing of Video Clips," International Journal of Computer Theory and Engineering vol. 6, no. 1, pp. 30-35, 2014.