Background segmentation beyond RGB

Research output: Chapter in Book/Report/Conference proceedingPaper in conference proceeding

Standard

Background segmentation beyond RGB. / Kristensen, Fredrik; Nilsson, Peter; Öwall, Viktor.

Computer Vision – ACCV 2006 / Lecture Notes in Computer Science. ed. / Narayanan S. Vol. 3852 Springer, 2006. p. 602-612.

Research output: Chapter in Book/Report/Conference proceedingPaper in conference proceeding

Harvard

Kristensen, F, Nilsson, P & Öwall, V 2006, Background segmentation beyond RGB. in N S (ed.), Computer Vision – ACCV 2006 / Lecture Notes in Computer Science. vol. 3852, Springer, pp. 602-612, 7th Asian Conference on Computer Vision (ACCV’06), 2006, Hyderabad, India, 2006/01/13. https://doi.org/10.1007/11612704_60

APA

Kristensen, F., Nilsson, P., & Öwall, V. (2006). Background segmentation beyond RGB. In N. S (Ed.), Computer Vision – ACCV 2006 / Lecture Notes in Computer Science (Vol. 3852, pp. 602-612). Springer. https://doi.org/10.1007/11612704_60

CBE

Kristensen F, Nilsson P, Öwall V. 2006. Background segmentation beyond RGB. S N, editor. In Computer Vision – ACCV 2006 / Lecture Notes in Computer Science. Springer. pp. 602-612. https://doi.org/10.1007/11612704_60

MLA

Kristensen, Fredrik, Peter Nilsson, and Viktor Öwall "Background segmentation beyond RGB". S, Narayanan (ed.). Computer Vision – ACCV 2006 / Lecture Notes in Computer Science. Springer. 2006, 602-612. https://doi.org/10.1007/11612704_60

Vancouver

Kristensen F, Nilsson P, Öwall V. Background segmentation beyond RGB. In S N, editor, Computer Vision – ACCV 2006 / Lecture Notes in Computer Science. Vol. 3852. Springer. 2006. p. 602-612 https://doi.org/10.1007/11612704_60

Author

Kristensen, Fredrik ; Nilsson, Peter ; Öwall, Viktor. / Background segmentation beyond RGB. Computer Vision – ACCV 2006 / Lecture Notes in Computer Science. editor / Narayanan S. Vol. 3852 Springer, 2006. pp. 602-612

RIS

TY - GEN

T1 - Background segmentation beyond RGB

AU - Kristensen, Fredrik

AU - Nilsson, Peter

AU - Öwall, Viktor

N1 - Conference code: 7

PY - 2006

Y1 - 2006

N2 - To efficiently classify and track video objects in a surveillance application, it is essential to reduce the amount of streaming data. One solution is to segment the video into background, i.e. stationary objects, and foreground, i.e. moving objects, and then discard the background. One such motion segmentation algorithm that has proven reliable is the Stauffer and Crimson algorithm. This paper investigates how different color spaces affect the segmentation result in terms of noise and shadow sensitivity. Shadows are especially problematic since they not only distort shape but can also result in falsely connected objects that will complicate tracking and classification. Therefore, a new decision kernel for the segmentation algorithm is presented. This kernel alters the probability of foreground detection to reduce shadows and to increase the chance of correct segmentation for objects with a skin tone color, e.g. faces.

AB - To efficiently classify and track video objects in a surveillance application, it is essential to reduce the amount of streaming data. One solution is to segment the video into background, i.e. stationary objects, and foreground, i.e. moving objects, and then discard the background. One such motion segmentation algorithm that has proven reliable is the Stauffer and Crimson algorithm. This paper investigates how different color spaces affect the segmentation result in terms of noise and shadow sensitivity. Shadows are especially problematic since they not only distort shape but can also result in falsely connected objects that will complicate tracking and classification. Therefore, a new decision kernel for the segmentation algorithm is presented. This kernel alters the probability of foreground detection to reduce shadows and to increase the chance of correct segmentation for objects with a skin tone color, e.g. faces.

U2 - 10.1007/11612704_60

DO - 10.1007/11612704_60

M3 - Paper in conference proceeding

SN - 978-3-540-31244-4

VL - 3852

SP - 602

EP - 612

BT - Computer Vision – ACCV 2006 / Lecture Notes in Computer Science

A2 - S, Narayanan

PB - Springer

T2 - 7th Asian Conference on Computer Vision (ACCV’06), 2006

Y2 - 13 January 2006

ER -