Title :
Exploration of The Vector Fusion Method for Basic Behavior Unit Segmentation from Visual Data
Author :
Xue, Xinwei ; Henderson, Thomas C.
Author_Institution :
Sch. of Comput., Utah Univ., Salt Lake City, UT
Abstract :
It becomes an increasingly important research area to automatically analyze object behaviors from visually captured data (e.g., motion) or video recordings. Among this research, the automatic basic behavior unit (BBU) discovery is very important. In this paper, we explore the applicability of the vector fusion (SBP) method, a multi-variate vector visualization technique, in BBU segmentation. This technique is also inherently a data dimension reduction technique: it reduces the multiple dimensional data into two dimensional (SBP)space, and the spatial and temporal analysis in SBP space can help discover the underlying data groups. We present results on a physical system and a synthetic mouse-in-a-cage scenario. The vector fusion method provides a good distinction and interpretation for the bouncing ball example and the analytical data from the synthetic video simulation upon certain selected features. Our experiments show that several factors influence the effectiveness of the vector fusion method in BBU segmentation. The temporal analysis in SBP space seems to be very effective to detect periodic BBUs. Overall, this method is simple and effective for grouping BBUs with periodic motion
Keywords :
feature extraction; image fusion; image segmentation; video signal processing; automatic basic behavior unit discovery; behavior unit segmentation; data dimension reduction technique; multivariate vector visualization technique; spatial analysis; synthetic mouse-in-a-cage scenario; synthetic video simulation; temporal analysis; vector fusion method; visual data; Animal behavior; Covariance matrix; Data analysis; Data visualization; Eigenvalues and eigenfunctions; Feature extraction; Image segmentation; Intelligent systems; Motion analysis; Video recording;
Conference_Titel :
Multisensor Fusion and Integration for Intelligent Systems, 2006 IEEE International Conference on
Conference_Location :
Heidelberg
Print_ISBN :
1-4244-0566-1
Electronic_ISBN :
1-4244-0567-X
DOI :
10.1109/MFI.2006.265674