TY - GEN
T1 - Torso detection in static images
AU - Hu, Zhilan
AU - Lin, Xinggang
AU - Yan, Hong
PY - 2007
Y1 - 2007
N2 - The existence of different clothing and cluttering backgrounds is the main difficulty for accurate torso detection in still images. This paper presents a novel dominant colors based method to tackle this problem. First, the image is segmented into uniform areas. Then, dominant colors of the torso are adaptively selected using a color probability model. Finally, the torso candidates can be extracted based on the dominant colors. Experiment results show that the proposed approach can accurately extract the location and orientation of the torso in most situations. © 2006 IEEE.
AB - The existence of different clothing and cluttering backgrounds is the main difficulty for accurate torso detection in still images. This paper presents a novel dominant colors based method to tackle this problem. First, the image is segmented into uniform areas. Then, dominant colors of the torso are adaptively selected using a color probability model. Finally, the torso candidates can be extracted based on the dominant colors. Experiment results show that the proposed approach can accurately extract the location and orientation of the torso in most situations. © 2006 IEEE.
KW - Color image segmentation
KW - Pose estimation
KW - Torso detection
UR - https://www.scopus.com/pages/publications/34249308853
UR - https://www.scopus.com/record/pubmetrics.uri?eid=2-s2.0-34249308853&origin=recordpage
U2 - 10.1109/ICOSP.2006.345837
DO - 10.1109/ICOSP.2006.345837
M3 - RGC 32 - Refereed conference paper (with host publication)
SN - 0780397371
SN - 9780780397378
VL - 3
BT - International Conference on Signal Processing Proceedings, ICSP
T2 - 8th International Conference on Signal Processing, ICSP 2006
Y2 - 16 November 2006 through 20 November 2006
ER -