TY - GEN
T1 - Human segmentation by fusing visible-light and thermal imaginary
AU - Zhao, Jian
AU - Cheung, Sen Ching S.
PY - 2009
Y1 - 2009
N2 - This paper describes a system for robust segmentation of human in video sequences by fusing the visible-light and thermal imaginary. The system first performs a simple calibration procedure to rectify the two camera views without knowing the cameras' intrinsic characteristics. Then a blob-to-blob homography is learned on-the-fly by estimating the disparity of each blob so that a pixel level registration can be achieved. The multi-modality information is then combined under a two-tier tracking algorithm and a unified background model to attain precise segmentation. Preliminary experimental results shows significant improvements over existing schemes under various difficult scenarios.
AB - This paper describes a system for robust segmentation of human in video sequences by fusing the visible-light and thermal imaginary. The system first performs a simple calibration procedure to rectify the two camera views without knowing the cameras' intrinsic characteristics. Then a blob-to-blob homography is learned on-the-fly by estimating the disparity of each blob so that a pixel level registration can be achieved. The multi-modality information is then combined under a two-tier tracking algorithm and a unified background model to attain precise segmentation. Preliminary experimental results shows significant improvements over existing schemes under various difficult scenarios.
UR - https://www.scopus.com/pages/publications/77953176859
UR - https://www.scopus.com/pages/publications/77953176859#tab=citedBy
U2 - 10.1109/ICCVW.2009.5457476
DO - 10.1109/ICCVW.2009.5457476
M3 - Conference contribution
AN - SCOPUS:77953176859
SN - 9781424444427
T3 - 2009 IEEE 12th International Conference on Computer Vision Workshops, ICCV Workshops 2009
SP - 1185
EP - 1192
BT - 2009 IEEE 12th International Conference on Computer Vision Workshops, ICCV Workshops 2009
T2 - 12th IEEE International Conference on Computer Vision Workshops, ICCVW 2009
Y2 - 27 September 2009 through 4 October 2009
ER -