TY - GEN
T1 - Video event detection based on over-segmented STV regions
AU - Wang, Jing
AU - Xu, Zhijie
PY - 2011
Y1 - 2011
N2 - Real-world environment introduces many variations into video recordings such as changing illumination and object dynamics. In this paper, a technique for abstracting useful spatio-temporal features from graph-based segmentation operations has been proposed. A spatio-temporal volume (STV)-based shape matching algorithm is then devised by using the intersection theory to facilitate the definition and detection of video events. To maintain system efficiency, this research has integrated an innovative feature-weight evaluation mechanism which rewards or punishes recognition outputs based on the segmentation quality. Substantial improvements on both the event Precision and Recall rate and the processing efficiency have been observed in the experiments in the project.
AB - Real-world environment introduces many variations into video recordings such as changing illumination and object dynamics. In this paper, a technique for abstracting useful spatio-temporal features from graph-based segmentation operations has been proposed. A spatio-temporal volume (STV)-based shape matching algorithm is then devised by using the intersection theory to facilitate the definition and detection of video events. To maintain system efficiency, this research has integrated an innovative feature-weight evaluation mechanism which rewards or punishes recognition outputs based on the segmentation quality. Substantial improvements on both the event Precision and Recall rate and the processing efficiency have been observed in the experiments in the project.
UR - http://www.scopus.com/inward/record.url?scp=84863049828&partnerID=8YFLogxK
U2 - 10.1109/ICCVW.2011.6130423
DO - 10.1109/ICCVW.2011.6130423
M3 - Conference Proceeding
AN - SCOPUS:84863049828
SN - 9781467300629
T3 - Proceedings of the IEEE International Conference on Computer Vision
SP - 1464
EP - 1471
BT - 2011 IEEE International Conference on Computer Vision Workshops, ICCV Workshops 2011
T2 - 2011 IEEE International Conference on Computer Vision Workshops, ICCV Workshops 2011
Y2 - 6 November 2011 through 13 November 2011
ER -