High-performance template tracking

  • Authors:
  • R. Cabido;A. S. Montemayor;J. J. Pantrigo;M. Martínez-Zarzuela;B. R. Payne

  • Affiliations:
  • Departamento de Ciencias de la Computación, Universidad Rey Juan Carlos, c/Tulipán s/n, 28933 Móstoles, Spain;Departamento de Ciencias de la Computación, Universidad Rey Juan Carlos, c/Tulipán s/n, 28933 Móstoles, Spain;Departamento de Ciencias de la Computación, Universidad Rey Juan Carlos, c/Tulipán s/n, 28933 Móstoles, Spain;Departamento de Teoría de la Señal, Comunicaciones e Ingeniería Telemática, Universidad de Valladolid, c/Paseo de Belén 15, 47011 Valladolid, Spain;Department of Mathematics & Computer Science, North Georgia College & State University, 82 College Circle, Dahlonega, GA 30597, United States

  • Venue:
  • Journal of Visual Communication and Image Representation
  • Year:
  • 2012

Quantified Score

Hi-index 0.00

Visualization

Abstract

Tracking systems are important in computer vision, with applications in video surveillance, human computer interfaces (HCI), etc. Consumer graphics processing units (GPUs) have experienced an extraordinary evolution in both computing performance and programmability, leading to a greater use of the GPU for non-rendering applications, such as image processing and computer vision tasks. In this work we show an effective particle filtering implementation for real-time template tracking based on the use of a graphics card as a streaming architecture in a translation-rotation-scale model.