bullet Sensors & Transducers Journal

    (ISSN: 2306-8515, e-ISSN 1726-5479)

205.767

2008 e-Impact Factor

     Editorial Calendar 2013

     Editorial Board

     Submit an Article

     Best Selling Articles 2012

     10 Top Sensors Products of 2012

     25 Top Downloaded Articles

     Submit Press Release

     Submit White Paper

     Journal Subscription 2013

Sensors & Transducers journal's cover

Sensors & Transducers Journal 2011

Sensors & Transducers Journal 2010

Sensors & Transducers Journal 2009

Sensors & Transducers Journal 2008

Sensors & Transducers Journal 2007

2000-2002 S&T e-Digest Contents

2003 S&T e-Digest Contents

2004 S&T e-Digest Contents

2005 S&T e-Digest Contents

2006 S&T e-Digest Contents

 

Best Articles 2011

 

 

 

Intelligent Data Acquisition and Information Process Technologies
and Their Applications. Part II.

 

Bullet

 

Vol. 19, Special Issue, February 2013, pp.25-33

 

 

Camera Pose Estimation in Dynamic Scenes with Background Tracking

 

Dong ZHANG and Ping LI

Department of Control Science and Engineering, Zhejiang University, 38 Zheda Road, Hangzhou, Zhejiang, 310027, China

Tel.: +86-13989463600, E-mail: zdzhangdong@yahoo.com.cn

 

 

Received: 4 December 2012   /Accepted: 15 January 2013   /Published: 19 February 2013

Digital Sensors and Sensor Sysstems

 

Abstract: This paper presents a method for robustly estimating camera pose in dynamic scenes. The main contribution of it is to use a background tracking method to ensure the accurately tracking of the moving background, thus to increase the robustness of the camera pose estimation. It has three innovations over existing methods. First, it uses a fast model initialization method to get the sparse model of the background; Second, it utilizes the newly developed 3-D motion segmentation method to segment the consecutive frames into different motions and uses an on-line model updating method to track the sparse model of the background; Third, it employs a model selection method to effectively connect the dynamic scenes with static scenes for an accurate estimation result. The method is tested on synthetic data and real-world image sequences and results show that it outperforms the existing methods.

 

Keywords: Camera pose estimation, Motion detection, Multiple view geometry, Dynamic vision

 

 

Buy this article (it will be send to you in the pdf format by e-mail) and special issue (in print or electronic format) online.
Subscribe Sensors & Transducers journal

(12 issues per year plus special issues; 40 % discount for payment IFSA Members):

 

Sensors & Transducers journal
Subscription 2013:

Buy this article in pdf for
14.95 $ US:

 

Subscribe button

Alternatively we accept a money transfer to our bank account. Please contact for details: sales@sensorsportal.com

 

Download <here> the Library Journal Recommendation Form

 

 

 

 

 


1999 - 2013 Copyright , International Frequency Sensor Association (IFSA). All Rights Reserved.


Home - News - Links - Archives - Tools - Voltage-to-Frequency Converters - Standardization - Patents - Marketplace - Projects - Wish List - e-Shop - Sensor Jobs - Membership - Videos - Publishing - Site Map - Subscribe - Search

 Members Area -Sensors Portal -Training Courses - S&T Digest - For advertisers - Bookstore - Forums - Polls - Submit Press Release - Submit White Paper - Testimonies - Twitter - Facebook - LinkedIn