Title :
Appearance-based tracking and recognition using the 3D trilinear tensor
Author :
Shao, Jie ; Zhou, Shaohua Kevin ; Chellappa, Rama
Author_Institution :
Center for Autom. Res., Maryland Univ., College Park, MD, USA
Abstract :
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.
Keywords :
adaptive estimation; image recognition; image representation; mathematical operators; tensors; tracking; video signal processing; 3D geometrical structure representation; 3D perspective transformation; 3D trilinear tensor; adaptive algorithm; affine-transformation based prediction; airborne video; appearance template updating; appearance-based tracking; novel view synthesis; recognition; tensor estimation; trilinear tensor operator; video-based object tracking; Adaptive algorithm; Automation; Computer graphics; Computer vision; Educational institutions; Equations; Lighting; Particle filters; Stability; Tensile stress;
Conference_Titel :
Acoustics, Speech, and Signal Processing, 2004. Proceedings. (ICASSP '04). IEEE International Conference on
Print_ISBN :
0-7803-8484-9
DOI :
10.1109/ICASSP.2004.1326619
