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

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.