Observatorio de I+D+i UPM

Memorias de investigación
Communications at congresses:
MULTI-TARGET DETECTION IN CCTV FOOTAGE FOR TRACKING APPLICATIONS USING DEEP LEARNING TECHNIQUES
Year:2016
Research Areas
  • Engineering,
  • Processing and signal analysis
Information
Abstract
Real-world CCTV footage often poses increased challenges in object tracking due to Pan-Tilt-Zoom operations, low camera quality and diverse working environments. Most relevant challenges are moving background, motion blur and severe scale changes. Convolutional neural networks, which offer state-of-the-art performance in object detection, are increasingly utilized to pursue a more efficient tracking scheme. In this work, the use of heterogeneous training data and data augmentation is explored to improve their detection rate in challenging CCTV scenes. Moreover, it is proposed to use the objects' spatial transformation parameters to automatically model and predict the evolution of intrinsic camera parameters and accordingly tune the detector for better performance. The proposed approaches are tested on publicly available datasets and real-world CCTV videos.
International
Si
Congress
2016 IEEE INTERNATIONAL CONFERENCE ON IMAGE PROCESSING (ICIP)
960
Place
Phoenix (Arizona, EEUU)
Reviewers
Si
ISBN/ISSN
1522-4880
10.1109/ICIP.2016.7532493
Start Date
25/09/2016
End Date
28/09/2016
From page
928
To page
932
Proceedings / ICIP ... International Conference on Image Processing
Participants
  • Autor: Anastasios Dimou (Information Technologies Institute)
  • Autor: Paschalina Medentzidou (Information Technologies Institute)
  • Autor: Federico Alvarez Garcia (UPM)
  • Autor: Petros Daras (Information Technologies Institute)
Research Group, Departaments and Institutes related
  • Creador: Grupo de Investigación: Grupo de Aplicación de Telecomunicaciones Visuales (G@TV)
  • Centro o Instituto I+D+i: Centro de I+d+i en Procesado de la Información y Telecomunicaciones
  • Departamento: Señales, Sistemas y Radiocomunicaciones
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