Three novell analog-domain algorithms for motion detection in video surveillance

  • Authors:
  • Arnaud Verdant;Patrick Villard;Antoine Dupret;Hervé Mathias

  • Affiliations:
  • CEA, LETI, MINATEC, 17 Rue des Martyrs, Grenoble Cedex 9, France;CEA, LETI, MINATEC, 17 Rue des Martyrs, Grenoble Cedex 9, France;ESYCOM-ESIEE Paris, 2, Boulevard Blaise Pascal, Cité Descartes, Noisy le Grand Cedex, France;IEF, Bâtiment, Université de Paris 11, Orsay Cedex, France

  • Venue:
  • Journal on Image and Video Processing - Special issue on advanced video-based surveillance
  • Year:
  • 2011

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Abstract

As to reduce processing load for video surveillance embedded systems, three low-level motion detection algorithms to be implemented on an analog CMOS image sensor are presented. Allowing on-chip segmentation of moving targets, these algorithms are both robust and compliant to various environments while being power efficient. They feature different trade-offs between detection performance and number of a priori choices. Detailed processing steps are presented for each of these algorithms and a comparative study is proposed with respect to some reference algorithms. Depending on the application, the best algorithm choice is then discussed.