TY - GEN
T1 - Online object tracking based on L1-loss SVMs with motion constraints
AU - Zhuo, Tao
AU - Zhang, Peng
AU - Zhang, Yanning
AU - Huang, Wei
N1 - Publisher Copyright:
© 2014 IEEE.
PY - 2014/11/12
Y1 - 2014/11/12
N2 - Orange technologies focus on individual behavior analysis, and the core of which is object tracking, especially arbitrary object tracking. One of the popular solution for arbitrary object tracking is tracking by detection. These approaches regard the tracking problem as a detection task, and use the online learning methods to adapt the classifier to various object appearance changes. However, due to lack of prior knowledge and unpredictable appearance changes, it is always hard to get accurate target location during the whole tracking process. In this paper, we incorporate a motion model into the tracking by detection framework. Besides object prediction, the motion model also guides the model updating process to guarantee the performance of the classifier. Experimentally, we show that our algorithm is able to outperform state of art trackers on benchmark data sets.
AB - Orange technologies focus on individual behavior analysis, and the core of which is object tracking, especially arbitrary object tracking. One of the popular solution for arbitrary object tracking is tracking by detection. These approaches regard the tracking problem as a detection task, and use the online learning methods to adapt the classifier to various object appearance changes. However, due to lack of prior knowledge and unpredictable appearance changes, it is always hard to get accurate target location during the whole tracking process. In this paper, we incorporate a motion model into the tracking by detection framework. Besides object prediction, the motion model also guides the model updating process to guarantee the performance of the classifier. Experimentally, we show that our algorithm is able to outperform state of art trackers on benchmark data sets.
KW - motion constraints
KW - SVM
KW - Tracking
UR - http://www.scopus.com/inward/record.url?scp=84916227909&partnerID=8YFLogxK
U2 - 10.1109/ICOT.2014.6956599
DO - 10.1109/ICOT.2014.6956599
M3 - 会议稿件
AN - SCOPUS:84916227909
T3 - IEEE International Conference on Orange Technologies, ICOT 2014
SP - 61
EP - 64
BT - IEEE International Conference on Orange Technologies, ICOT 2014
PB - Institute of Electrical and Electronics Engineers Inc.
T2 - 2014 IEEE International Conference on Orange Technologies, ICOT 2014
Y2 - 20 September 2014 through 23 September 2014
ER -