TY - GEN
T1 - Vanishing point-based line sampling for efficient axis-based people localization
AU - Lo, Kuo Hua
AU - Chuang, Jen-Hui
PY - 2011/12/1
Y1 - 2011/12/1
N2 - In this paper, we propose an efficient people localization approach using multiple cameras based on axial representations of foreground regions. Unlike many previous methods that need to project all foreground pixels of all views to multiple reference planes via homography, we instead apply vanishing point-based line sampling to reduce the large amount of pixel processing so that computational efficiency can be greatly enhanced. Experimental simulations show that the proposed approach is more than 40 times faster than the compared, pixel-based localization method on average, without sacrificing the localization accuracy.
AB - In this paper, we propose an efficient people localization approach using multiple cameras based on axial representations of foreground regions. Unlike many previous methods that need to project all foreground pixels of all views to multiple reference planes via homography, we instead apply vanishing point-based line sampling to reduce the large amount of pixel processing so that computational efficiency can be greatly enhanced. Experimental simulations show that the proposed approach is more than 40 times faster than the compared, pixel-based localization method on average, without sacrificing the localization accuracy.
KW - line samples
KW - localization
KW - multiple reference planes
KW - Vanishing point
UR - http://www.scopus.com/inward/record.url?scp=84856295366&partnerID=8YFLogxK
U2 - 10.1109/ICIP.2011.6116396
DO - 10.1109/ICIP.2011.6116396
M3 - Conference contribution
AN - SCOPUS:84856295366
SN - 9781457713033
T3 - Proceedings - International Conference on Image Processing, ICIP
SP - 521
EP - 524
BT - ICIP 2011
T2 - 2011 18th IEEE International Conference on Image Processing, ICIP 2011
Y2 - 11 September 2011 through 14 September 2011
ER -