Depth estimation and implementation on the DM6437 for panning surveillance cameras

M. Asif, J.J. Soraghan

Research output: Contribution to conferencePaper

4 Citations (Scopus)

Abstract

Real-time efficient video analytics (VA) for surveillance system requires 'in-camera' or 'at camera edge' decision-making. Video Analytics is required to work on good resolution footage in order to register tiny but important information that may otherwise be lost during subsequent compression process, especially in temporally exploited streams. This paper presents a novel approach to estimate 3D location coordinates of selected control points from panning camera footage. The two frames at different panning angles are considered to be two images captured from two different coplanar viewpoints with some translational distance between their optical centers. To simulate panned images as coplanar the information required is the panning angle. With the help of the panning angle transformational matrix two image planes are calculated. The approach developed here will help extract motion descriptors, including and not limited to, motion activity and direction of motion activity. The performance of the algorithm is evaluated in the paper using several test sequences. This paper provides a comprehensive implementation issues onto TI DaVinci platform.
Original languageEnglish
Pages739-745
Number of pages6
DOIs
Publication statusPublished - Jul 2009
Event16th International Conference on Digital Signal Processing - Santorini, Greece
Duration: 5 Jul 20097 Jul 2009

Conference

Conference16th International Conference on Digital Signal Processing
CountryGreece
CitySantorini
Period5/07/097/07/09

Keywords

  • video analytics
  • EVM
  • evaluation module
  • DM6437
  • feature detection
  • background model
  • disparity
  • panning

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    Asif, M., & Soraghan, J. J. (2009). Depth estimation and implementation on the DM6437 for panning surveillance cameras. 739-745. Paper presented at 16th International Conference on Digital Signal Processing, Santorini, Greece. https://doi.org/10.1109/ICDSP.2009.5201224