Tracking of tubular objects for scientific applications
Parvin, B.
Peng, C.
Johnston, W.
Maestre, M.
Imaging Technol. Group, Lawrence Berkeley Lab., CA ;
Abstract
We present a system for detection, tracking and representation of
tubular objects in images. The uniqueness of the proposed system is
twofold: at the macro level, the novelty of the system lies in the
integration of object localization and tracking using geometric
properties; at the micro level, is the use of high and low level
constraints to model the detection and tracking subsystem. The
underlying philosophy for object detection is to extract perceptually
significant features from the pixel level image, and then use these high
level cues to refine the precise boundaries. In the case of tubular
objects, the perceptually significant features are anti-parallel line
segments or, equivalently, their axis of symmetries. The axis of
symmetry infers a coarse description of the object in terms of a
bounding polygon. The polygon then provides the necessary boundary
condition for the refinement process, which is based on dynamic
programming. For tracking the object in a time sequence of images, the
refined contour is then projected onto each consecutive frame. In
addition, the system provides an axis of symmetry representation of
object for subsequent scientific analysis
Index
Terms
Available to subscribers and IEEE members.
References
Available to subscribers and IEEE members.
Citing Documents
Available to subscribers and IEEE members.
Cart
