This paper presents a novel method to automatically extract moving objects using motion and color information. Based on pattern recognition and object tracking principles, the proposed method can handle sequences both with moving and stationary backgrounds. It derives for each physical object a two-dimensional binary model, with the model points corresponding to the edges that were detected by the Canny Operator. The resulting binary models combined with the temporal and spatial information will then guide the extraction of the actual VOPs from the video sequence. The performance of the segmentation technique is illustrated by simulations carried out on standard video sequences.
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.