TY - GEN
T1 - Extracting key postures in a human action video sequence
AU - Chen, Yan
AU - Wu, Qiang
AU - He, Xiangjian
AU - Du, Chunhua
AU - Yang, Jie
PY - 2008
Y1 - 2008
N2 - Human key posture extraction from videos will benefit video storage, video retrieval, human action recognition, human behaviour understanding and so on. This paper presents an approach to select key postures from human action sequences using 2D information. There are two steps in the proposed method. Information measurement which is a kind of global feature of a frame is used to roughly find key posture candidates. Then, a body skeleton feature which is a kind of local feature is applied to select final key postures from the candidates obtained in the first step. The experiments show that the proposed method is efficient.
AB - Human key posture extraction from videos will benefit video storage, video retrieval, human action recognition, human behaviour understanding and so on. This paper presents an approach to select key postures from human action sequences using 2D information. There are two steps in the proposed method. Information measurement which is a kind of global feature of a frame is used to roughly find key posture candidates. Then, a body skeleton feature which is a kind of local feature is applied to select final key postures from the candidates obtained in the first step. The experiments show that the proposed method is efficient.
UR - http://www.scopus.com/inward/record.url?scp=58049095887&partnerID=8YFLogxK
U2 - 10.1109/MMSP.2008.4665142
DO - 10.1109/MMSP.2008.4665142
M3 - Conference contribution
AN - SCOPUS:58049095887
SN - 9781424422951
T3 - Proceedings of the 2008 IEEE 10th Workshop on Multimedia Signal Processing, MMSP 2008
SP - 569
EP - 573
BT - Proceedings of the 2008 IEEE 10th Workshop on Multimedia Signal Processing, MMSP 2008
T2 - 2008 IEEE 10th Workshop on Multimedia Signal Processing, MMSP 2008
Y2 - 8 October 2008 through 10 October 2008
ER -