A Semi-Automatic Video Annotation Tool to Generate Ground Truth for Intelligent Video Surveillance Systems

Authors:
Joosung Kim;Ryu-Hyeok Gwon;Jin-Tak Park;Hakil Kim;Yoo-Sung Kim
Affiliations:
Department of Information & Communication Engineering, Inha University, Incheon 402-751, Korea +82-32-860-7450;Department of Information & Communication Engineering, Inha University, Incheon 402-751, Korea +82-32-860-7450;Department of Information & Communication Engineering, Inha University, Incheon 402-751, Korea +82-32-860-7450;Department of Information & Communication Engineering, Inha University, Incheon 402-751, Korea +82-32-860-7450;Department of Information & Communication Engineering, Inha University, Incheon 402-751, Korea +82-32-860-7450
Venue:
Proceedings of International Conference on Advances in Mobile Computing & Multimedia
Year:
2013

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Abstract

Since generating ground truth data for developing object detection algorithms of intelligent surveillance systems is very important, a user-friendly tool to annotate videos efficiently and accurately is essential. In this paper, a semi-automatic video annotation tool is developed. For efficiency, the developed tool can automatically generate the initial annotation data for input videos by the automatic object detection modules which are developed independently and registered. To guarantee the accuracy of the ground truth data, the system also has several user-friendly functions to support the users to check the validity of the initial annotation data. With the developed video annotation tool, users can generate large amount of ground truth data for many videos.