Translator Disclaimer
23 June 2003 Automatic video object segmentation for MPEG-4
Author Affiliations +
Proceedings Volume 5150, Visual Communications and Image Processing 2003; (2003) https://doi.org/10.1117/12.502796
Event: Visual Communications and Image Processing 2003, 2003, Lugano, Switzerland
Abstract
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.
© (2003) COPYRIGHT Society of Photo-Optical Instrumentation Engineers (SPIE). Downloading of the abstract is permitted for personal use only.
Wei Wei and King Ngi Ngan "Automatic video object segmentation for MPEG-4", Proc. SPIE 5150, Visual Communications and Image Processing 2003, (23 June 2003); https://doi.org/10.1117/12.502796
PROCEEDINGS
11 PAGES


SHARE
Advertisement
Advertisement
RELATED CONTENT

Visual pattern-based motion estimation for video coding
Proceedings of SPIE (March 22 1996)
Status of the emerging ITU T H.264 ISO...
Proceedings of SPIE (November 21 2002)
Very low bit rate video coding system based on optical...
Proceedings of SPIE (April 21 1995)
Data compression for structured video using support layer
Proceedings of SPIE (February 27 1996)
Segmentation-based coding for very low bit rate coding
Proceedings of SPIE (January 10 1997)

Back to Top