This research analyzed key technologies, including object tracking and image matching, for realizing a television guidance system and proposed multiple kernels matching for precise television guidance. A semiphysical simulation system was designed to test the effectiveness of the proposed method. The experimental results showed that this method performed well in a television guidance system and did better than a template matching method.
In this paper we propose a new method for target detection based on an analysis of the motion vector field in a dynamic
video scene. Our method, which integrates motion vector field analysis and image segmentation, can be used to treat
with videos acquired by mobile cameras. It can even be used to detect multiple targets in a scene simultaneously with no
advance learning. Using some video materials from a YUV video sequence from Arizona State University, we
successfully determined the boundaries of the moving targets by the proposed method. The algorithms detected the
targets and enabled us to obtain very satisfactory results.
Access to the requested content is limited to institutions that have purchased or subscribe to SPIE eBooks.
You are receiving this notice because your organization may not have SPIE eBooks access.*
*Shibboleth/Open Athens users─please
sign in
to access your institution's subscriptions.
To obtain this item, you may purchase the complete book in print or electronic format on
SPIE.org.
INSTITUTIONAL Select your institution to access the SPIE Digital Library.
PERSONAL Sign in with your SPIE account to access your personal subscriptions or to use specific features such as save to my library, sign up for alerts, save searches, etc.