TY - GEN
T1 - Fast object tracking using color histograms and patch differences
AU - Lee, Dae Youn
AU - Sim, Jae Young
AU - Kim, Chang-Su
PY - 2013
Y1 - 2013
N2 - A fast visual object tracking algorithm using novel object appearance models is proposed in this work. We develop a color histogram model and a patch difference model to extract color and texture feature vectors, respectively. Then, we apply k-nearest neighbor classifiers to the color and texture feature vectors and obtain the foreground probability map. We then perform a hierarchical mean shift process on the map to identify the object window. Experimental results demonstrate that proposed algorithm outperforms the conventional algorithms in terms of both tracking accuracy and processing speed.
AB - A fast visual object tracking algorithm using novel object appearance models is proposed in this work. We develop a color histogram model and a patch difference model to extract color and texture feature vectors, respectively. Then, we apply k-nearest neighbor classifiers to the color and texture feature vectors and obtain the foreground probability map. We then perform a hierarchical mean shift process on the map to identify the object window. Experimental results demonstrate that proposed algorithm outperforms the conventional algorithms in terms of both tracking accuracy and processing speed.
KW - Object tracking
KW - appearance model
KW - k-nearest neighbor
KW - mean shift localization
KW - tracking-by-detection
UR - http://www.scopus.com/inward/record.url?scp=84897769469&partnerID=8YFLogxK
UR - http://www.scopus.com/inward/citedby.url?scp=84897769469&partnerID=8YFLogxK
U2 - 10.1109/ICIP.2013.6738804
DO - 10.1109/ICIP.2013.6738804
M3 - Conference contribution
AN - SCOPUS:84897769469
SN - 9781479923410
T3 - 2013 IEEE International Conference on Image Processing, ICIP 2013 - Proceedings
SP - 3905
EP - 3908
BT - 2013 IEEE International Conference on Image Processing, ICIP 2013 - Proceedings
T2 - 2013 20th IEEE International Conference on Image Processing, ICIP 2013
Y2 - 15 September 2013 through 18 September 2013
ER -