TY - GEN
T1 - Action recognition based on kinematic representation of video data
AU - Sun, Xin
AU - Huang, Di
AU - Wang, Yunhong
AU - Qin, Jie
N1 - Publisher Copyright:
© 2014 IEEE.
PY - 2014/1/28
Y1 - 2014/1/28
N2 - The local space-time feature is an effective way to represent video data and achieves state-of-the-art performance in action recognition. However, in majority of cases, it only captures the static or dynamic cues of the image sequence. In this paper, we propose a novel kinematic descriptor, namely Static and Dynamic fEature Velocity (SDEV), which models the changes of both static and dynamic information with time for action recognition. It is not only discriminative itself, but also complementary to the existing descriptors, thus leading to more comprehensive representation of actions by their combination. Evaluated on two public databases, i.e. UCF sports and Olympic Sports, the results clearly illustrate the competency of SDEV.
AB - The local space-time feature is an effective way to represent video data and achieves state-of-the-art performance in action recognition. However, in majority of cases, it only captures the static or dynamic cues of the image sequence. In this paper, we propose a novel kinematic descriptor, namely Static and Dynamic fEature Velocity (SDEV), which models the changes of both static and dynamic information with time for action recognition. It is not only discriminative itself, but also complementary to the existing descriptors, thus leading to more comprehensive representation of actions by their combination. Evaluated on two public databases, i.e. UCF sports and Olympic Sports, the results clearly illustrate the competency of SDEV.
KW - Action recognition
KW - kinematic description
KW - motion feature
UR - https://www.scopus.com/pages/publications/84949929127
U2 - 10.1109/ICIP.2014.7025306
DO - 10.1109/ICIP.2014.7025306
M3 - 会议稿件
AN - SCOPUS:84949929127
T3 - 2014 IEEE International Conference on Image Processing, ICIP 2014
SP - 1530
EP - 1534
BT - 2014 IEEE International Conference on Image Processing, ICIP 2014
PB - Institute of Electrical and Electronics Engineers Inc.
ER -