NDLI: Coherent event-based surveillance video synopsis using trajectory clustering

Content Provider	IEEE Xplore Digital Library
Author	Chien-Li Chou Chin-Hsien Lin Tzu-Hsuan Chiang Hua-Tsung Chen Suh-Yin Lee
Copyright Year	2015
Description	Author affiliation: Inf. & Commun. Technol. Lab., Nat. Chiao Tung Univ., Hsinchu, Taiwan (Hua-Tsung Chen) \|\| Dept. of Comput. Sci., Nat. Chiao Tung Univ., Hsinchu, Taiwan (Chien-Li Chou; Chin-Hsien Lin; Tzu-Hsuan Chiang; Suh-Yin Lee)
Abstract	With the rapid development of the camera industry, surveillance systems become more and more popular in our daily life. However, it is very time-consuming to find out specific persons or objects from a mass of surveillance videos with long duration. For efficient browsing surveillance videos, numerous researchers are devoted to eliminating the inherent spatiotemporal redundancy for video synopsis. Nevertheless, too much information in a synopsis frame may distract viewers' attention. Therefore, we propose a novel surveillance video synopsis system using coherent event classification to alleviate the above issues. Object trajectories are extracted by background subtraction, and then clustered. Coherent events containing similar actions of objects with different moving speeds are obtained by applying the longest common subsequence algorithm to measure the similarity among trajectories. The trajectories in each cluster are rescheduled and stitched onto the background to generate synopsis videos with coherent events. Comprehensive experiments conducted on various surveillance videos demonstrate the convincing performance of our proposed system.
Starting Page	1
Ending Page	6
File Size	910927
Page Count	6
File Format	PDF
ISBN	9781479970797
DOI	10.1109/ICMEW.2015.7169855
Language	English
Publisher	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Publisher Date	2015-06-29
Publisher Place	Italy
Access Restriction	Subscribed
Rights Holder	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Subject Keyword	Schedules Surveillance Longest Common Subsequence (LCS) Trajectory clustering Clustering algorithms Euclidean distance Coherent event Cameras Video synopsis Video summarization Trajectory Spatiotemporal phenomena
Content Type	Text
Resource Type	Article

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1	Ministry of Education (GoI), Department of Higher Education	Sanctioning Authority	https://www.education.gov.in/ict-initiatives
2	Indian Institute of Technology Kharagpur	Host Institute of the Project: The host institute of the project is responsible for providing infrastructure support and hosting the project	https://www.iitkgp.ac.in
3	National Digital Library of India Office, Indian Institute of Technology Kharagpur	The administrative and infrastructural headquarters of the project	Dr. B. Sutradhar bsutra@ndl.gov.in
4	Project PI / Joint PI	Principal Investigator and Joint Principal Investigators of the project	Dr. B. Sutradhar bsutra@ndl.gov.in Prof. Saswat Chakrabarti will be added soon
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9	IDR Setup or Support	Queries related to establishment and support of Institutional Digital Repository (IDR) and IDR workshops	idr@ndl.gov.in

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