Scheduled System Maintenance on May 29th, 2015:
IEEE Xplore will be upgraded between 11:00 AM and 10:00 PM EDT. During this time there may be intermittent impact on performance. For technical support, please contact us at onlinesupport@ieee.org. We apologize for any inconvenience.
By Topic

Video Object Tracking Method Based on Snake Model Using Object's Histogram Information

Sign In

Cookies must be enabled to login.After enabling cookies , please use refresh or reload or ctrl+f5 on the browser for the login options.

Formats Non-Member Member
$31 $13
Learn how you can qualify for the best price for this item!
Become an IEEE Member or Subscribe to
IEEE Xplore for exclusive pricing!
close button

puzzle piece

IEEE membership options for an individual and IEEE Xplore subscriptions for an organization offer the most affordable access to essential journal articles, conference papers, standards, eBooks, and eLearning courses.

Learn more about:

IEEE membership

IEEE Xplore subscriptions

2 Author(s)
Guo Lihua ; Sch. of Electron. & Inf., South China Univ. of Technol., Guangzhou ; Zhang Yuanjian

This paper presents a video object tracking algorithm based on snake model using object's histogram information, which is designed on the basis of object's histogram consistency between the consecutive image frames, and finally implemented by using the level set method. Because this algorithm uses the histogram information in the snake energy function, it overcomes the local minimization problem of video tracking algorithms based on the local characters, such as mean, deviation or motion vector. The contrastive experiment reveals that our algorithm performs better than those based on local characters

Published in:

Communications, Circuits and Systems Proceedings, 2006 International Conference on  (Volume:1 )

Date of Conference:

June 2006