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HIERARCHICAL APPROACH TO ENHANCED ACTIVE SHAPE MODEL FOR COLOR VIDEO TRACKING
 

Summary: HIERARCHICAL APPROACH TO ENHANCED ACTIVE SHAPE MODEL FOR COLOR
VIDEO TRACKING
S. K. Kang, A. Koschan, H. S. Zhang, J. K. Paik, B. R. Abidi, and M. A. Abidi
Imaging, Robotics, and Intelligent Systems Laboratory, The University of Tennessee, Knoxville, TN, USA
ABSTRACT
Tracking and recognizing non-rigid objects in video
image sequences are complex tasks of increasing
importance to many applications. In this paper, we present
a hierarchical realization of an enhanced active shape
model for color video tracking and we study the
performance of hierarchical and non-hierarchical
implementations in the RGB, YUV, and HSI color spaces.
1. INTRODUCTION
The goal of this research is to establish a theoretical
background and to provide a practical framework for real-
time color video tracking based on the enhanced active
shape model (ASM) [1]. Target applications include, but
are not limited to, video surveillance for airport security,
guidance of a robot arm's manipulation employing
dynamic imaging, and motion trajectory analysis of

  

Source: Abidi, Mongi A. - Department of Electrical and Computer Engineering, University of Tennessee

 

Collections: Computer Technologies and Information Sciences