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

  • Authors:
  • I. Kavasidis;S. Palazzo;R. Di Salvo;D. Giordano;C. Spampinato

  • Affiliations:
  • University of Catania, Italy;University of Catania, Italy;University of Catania, Italy;University of Catania, Italy;University of Catania, Italy

  • Venue:
  • Proceedings of the 1st International Workshop on Visual Interfaces for Ground Truth Collection in Computer Vision Applications
  • Year:
  • 2012

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Abstract

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.