%0 Conference Paper
%B Acoustics, Speech, and Signal Processing, 2004. Proceedings. (ICASSP '04). IEEE International Conference on
%D 2004
%T Appearance-based tracking and recognition using the 3D trilinear tensor
%A Jie Shao
%A Zhou,S. K
%A Chellapa, Rama
%K 3D
%K adaptive
%K affine-transformation
%K airborne
%K algorithm;
%K appearance
%K appearance-based
%K based
%K estimation;
%K geometrical
%K image
%K mathematical
%K novel
%K object
%K operator;
%K operators;
%K perspective
%K prediction;
%K processing;
%K recognition;
%K representation;
%K signal
%K structure
%K synthesis;
%K template
%K tensor
%K tensor;
%K tensors;
%K tracking;
%K transformation;
%K trilinear
%K updating;
%K video
%K video-based
%K video;
%K view
%X The paper presents an appearance-based adaptive algorithm for simultaneous tracking and recognition by generalizing the transformation model to 3D perspective transformation. A trilinear tensor operator is used to represent the 3D geometrical structure. The tensor is estimated by predicting the corresponding points using the existing affine-transformation based algorithm. The estimated tensor is used to synthesize novel views to update the appearance templates. Some experimental results using airborne video are presented.
%B Acoustics, Speech, and Signal Processing, 2004. Proceedings. (ICASSP '04). IEEE International Conference on
%V 3
%P iii - 613-16 vol.3 - iii - 613-16 vol.3
%8 2004/05//
%G eng
%R 10.1109/ICASSP.2004.1326619