A semi-automatic tool for detection and tracking ground truth generation in videos

In this paper we present a tool for the generation of ground-truth data for object detection, tracking and recognition applications. Compared to state of the art methods, such as ViPER-GT, our tool improves the user experience by providing edit shortcuts such as hotkeys and drag-and-drop, and by integrating computer vision algorithms to automate, under the supervision of the user, the extraction of contours and the identification of objects across frames. A comparison between our application and ViPER-GT tool was performed, which showed how our tool allows users to label a video in a shorter time, while at the same time providing a higher ground truth quality. © 2012 ACM