Precise motion descriptors extraction from stereoscopic footage using DaVinci DM6446

M. Asif, J.J. Soraghan

Research output: Contribution to conferencePaper

Abstract

A novel approach to extract target motion descriptors in multi-camera video surveillance systems is presented. Using two static surveillance cameras with partially overlapped field of view (FOV), control points (unique points from each camera) are identified in regions of interest (ROI) from both cameras footage. The control points within the ROI are matched for correspondence and a meshed Euclidean distance based signature is computed. A depth map is estimated using disparity of each control pair and the ROI is graded into number of regions with the help of relative depth information of the control points. The graded regions of different depths will help calculate accurately the pace of the moving target and also its 3D location. The advantage of estimating a depth map for background static control points over depth map of the target itself is its accuracy and robustness to outliers. The performance of the algorithm is evaluated in the paper using several test sequences. Implementation issues of the algorithm onto the TI DaVinci DM6446 platform are considered in the paper.
LanguageEnglish
Pages485-489
Number of pages5
Publication statusPublished - Sep 2009
Event17th European Signal Processing Conference - Glasgow, Scotland
Duration: 24 Aug 200928 Aug 2009

Conference

Conference17th European Signal Processing Conference
CityGlasgow, Scotland
Period24/08/0928/08/09

Fingerprint

Cameras
Video cameras

Keywords

  • surveillance systems
  • TI DaVinci DM6446
  • European signal processing
  • Texas instrument DaVinci family

Cite this

Asif, M., & Soraghan, J. J. (2009). Precise motion descriptors extraction from stereoscopic footage using DaVinci DM6446. 485-489. Paper presented at 17th European Signal Processing Conference, Glasgow, Scotland, .
Asif, M. ; Soraghan, J.J. / Precise motion descriptors extraction from stereoscopic footage using DaVinci DM6446. Paper presented at 17th European Signal Processing Conference, Glasgow, Scotland, .5 p.
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title = "Precise motion descriptors extraction from stereoscopic footage using DaVinci DM6446",
abstract = "A novel approach to extract target motion descriptors in multi-camera video surveillance systems is presented. Using two static surveillance cameras with partially overlapped field of view (FOV), control points (unique points from each camera) are identified in regions of interest (ROI) from both cameras footage. The control points within the ROI are matched for correspondence and a meshed Euclidean distance based signature is computed. A depth map is estimated using disparity of each control pair and the ROI is graded into number of regions with the help of relative depth information of the control points. The graded regions of different depths will help calculate accurately the pace of the moving target and also its 3D location. The advantage of estimating a depth map for background static control points over depth map of the target itself is its accuracy and robustness to outliers. The performance of the algorithm is evaluated in the paper using several test sequences. Implementation issues of the algorithm onto the TI DaVinci DM6446 platform are considered in the paper.",
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author = "M. Asif and J.J. Soraghan",
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Asif, M & Soraghan, JJ 2009, 'Precise motion descriptors extraction from stereoscopic footage using DaVinci DM6446' Paper presented at 17th European Signal Processing Conference, Glasgow, Scotland, 24/08/09 - 28/08/09, pp. 485-489.

Precise motion descriptors extraction from stereoscopic footage using DaVinci DM6446. / Asif, M.; Soraghan, J.J.

2009. 485-489 Paper presented at 17th European Signal Processing Conference, Glasgow, Scotland, .

Research output: Contribution to conferencePaper

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AU - Asif, M.

AU - Soraghan, J.J.

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N2 - A novel approach to extract target motion descriptors in multi-camera video surveillance systems is presented. Using two static surveillance cameras with partially overlapped field of view (FOV), control points (unique points from each camera) are identified in regions of interest (ROI) from both cameras footage. The control points within the ROI are matched for correspondence and a meshed Euclidean distance based signature is computed. A depth map is estimated using disparity of each control pair and the ROI is graded into number of regions with the help of relative depth information of the control points. The graded regions of different depths will help calculate accurately the pace of the moving target and also its 3D location. The advantage of estimating a depth map for background static control points over depth map of the target itself is its accuracy and robustness to outliers. The performance of the algorithm is evaluated in the paper using several test sequences. Implementation issues of the algorithm onto the TI DaVinci DM6446 platform are considered in the paper.

AB - A novel approach to extract target motion descriptors in multi-camera video surveillance systems is presented. Using two static surveillance cameras with partially overlapped field of view (FOV), control points (unique points from each camera) are identified in regions of interest (ROI) from both cameras footage. The control points within the ROI are matched for correspondence and a meshed Euclidean distance based signature is computed. A depth map is estimated using disparity of each control pair and the ROI is graded into number of regions with the help of relative depth information of the control points. The graded regions of different depths will help calculate accurately the pace of the moving target and also its 3D location. The advantage of estimating a depth map for background static control points over depth map of the target itself is its accuracy and robustness to outliers. The performance of the algorithm is evaluated in the paper using several test sequences. Implementation issues of the algorithm onto the TI DaVinci DM6446 platform are considered in the paper.

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KW - TI DaVinci DM6446

KW - European signal processing

KW - Texas instrument DaVinci family

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Asif M, Soraghan JJ. Precise motion descriptors extraction from stereoscopic footage using DaVinci DM6446. 2009. Paper presented at 17th European Signal Processing Conference, Glasgow, Scotland, .