MOTION ANALYSIS, MOVING OBJECT EXTRACTION, SKELETONIZATION, and DISTANCE TRANSFORMS

Novel tracking-based moving object extraction algorithm

[+] Author Affiliations
Essam A. El-Kwae

University of North Carolina at Charlotte, Department of Computer Science, Charlotte, North Carolina 28223 E-mail: fanj@cs.uncc.edu

Mohand-Said Hacid

Claude Bernard Lyon 1 University, 69622 Villeurbanne, Lyon, France

Feng Liang

Zhejiang University of Technology, Department of Telecommunications, Hangzhou, China

J. Electron. Imaging. 11(3), 393-403 (Jul 01, 2002). doi:10.1117/1.1482095
History: Received Jun. 5, 2000; Received Jun. 19, 2001; Accepted December 1, 2001; Online July 25, 2002
Text Size: A A A

Moving object extraction plays a fundamental role in computer vision, pattern recognition, object-based video coding and indexing. However, the low-level visual homogeneity criteria (like color, texture, intensity, motion, and so on) for segmentation do not lead to regions that immediately correspond to meaningful objects from the human point of view, because a semantic video object can contain totally different gray levels, colors, textures, or even motion. In this paper, a novel moving object extraction algorithm is proposed by collaborative integration of the results of a semantic object generation algorithm and a temporal tracking technique. First, the semantic objects are generated by a seeded region aggregation procedure according to some perceptual visual models or by a human–computer interaction procedure. Second, the correspondence of these extracted semantic objects along the time axis is further exploited through a temporal tracking procedure. © 2002 SPIE and IS&T.

© 2002 SPIE and IS&T

Citation

Jianping Fan ; Essam A. El-Kwae ; Mohand-Said Hacid and Feng Liang
"Novel tracking-based moving object extraction algorithm", J. Electron. Imaging. 11(3), 393-403 (Jul 01, 2002). ; http://dx.doi.org/10.1117/1.1482095


Tables

Access This Article
Sign in or Create a personal account to Buy this article ($20 for members, $25 for non-members).

Some tools below are only available to our subscribers or users with an online account.

Related Content

Customize your page view by dragging & repositioning the boxes below.

Related Book Chapters

Topic Collections

Advertisement
  • Don't have an account?
  • Subscribe to the SPIE Digital Library
  • Create a FREE account to sign up for Digital Library content alerts and gain access to institutional subscriptions remotely.
Access This Article
Sign in or Create a personal account to Buy this article ($20 for members, $25 for non-members).
Access This Proceeding
Sign in or Create a personal account to Buy this article ($15 for members, $18 for non-members).
Access This Chapter

Access to SPIE eBooks is limited to subscribing institutions and is not available as part of a personal subscription. Print or electronic versions of individual SPIE books may be purchased via SPIE.org.