TY - GEN
T1 - Discriminative random fields for behavior modeling
AU - Tianyu, Huang
AU - Chongde, Shi
AU - Fengxia, Li
PY - 2009
Y1 - 2009
N2 - This paper proposed an approach of human behavior modeling based on Discriminative Random Fields. In this model, by introducing the hidden behavior feature functions and time window parameters, the Classical CRFs models was extended to spatio-temporal fields. And feature templates were designed to capture the dynamics of human motions. Due to the conditional structure, this model can accommodate arbitrary overlapping features of the observation as well as long-term contextual dependencies among observations. Behavior recognition method was designed in the experiments. And the results proved that the proposed modeling method performed over than HMM and CRF for human behavior modeling.
AB - This paper proposed an approach of human behavior modeling based on Discriminative Random Fields. In this model, by introducing the hidden behavior feature functions and time window parameters, the Classical CRFs models was extended to spatio-temporal fields. And feature templates were designed to capture the dynamics of human motions. Due to the conditional structure, this model can accommodate arbitrary overlapping features of the observation as well as long-term contextual dependencies among observations. Behavior recognition method was designed in the experiments. And the results proved that the proposed modeling method performed over than HMM and CRF for human behavior modeling.
UR - https://www.scopus.com/pages/publications/71049151239
U2 - 10.1109/CSIE.2009.594
DO - 10.1109/CSIE.2009.594
M3 - Conference contribution
AN - SCOPUS:71049151239
SN - 9780769535074
T3 - 2009 WRI World Congress on Computer Science and Information Engineering, CSIE 2009
SP - 17
EP - 21
BT - 2009 WRI World Congress on Computer Science and Information Engineering, CSIE 2009
T2 - 2009 WRI World Congress on Computer Science and Information Engineering, CSIE 2009
Y2 - 31 March 2009 through 2 April 2009
ER -