bullet Sensors & Transducers Journal

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


2013 Global Impact Factor


2008 e-Impact Factor

25 Top Downloaded Articles

Best Selling Articles 2012

Journal Subscription 2014

Editorial Calendar

Submit an Article

Editorial Board

Current Issue

S&T 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




Vol. 177, Issue 8, August 2014, pp. 279-285




A Novel Object Based Visual Tracking

1 Gaofeng Li, 1, 2 Wang Lei, 1 Peilong Li

1 School of Electronics and Information Engineering, Tongji University, Shanghai, 201804, China
2 Chinesisch-Deutsches Hochschulkolleg, Tongji University, Shanghai, 201804, China
1 Tel.: +86-182-0195-9628, fax: +86-021-6598-0860

1 E-mail: 2011gaofengli@tongji.edu.cn


Received: 8 August 2014 /Accepted: 29 August 2014 /Published: 31 August 2014

Digital Sensors and Sensor Sysstems


Abstract: Visual tracking is a challenging task for object with changing appearance in complex scenes. Online learning and detection trackers are developed to resolve the difficulties such as non-rigid, fast motion, occlusion, rotation and scale change. We propose a novel object based tracking method to achieve robust and accurate object. The integrity of object and structural parts are combined for object tracking. Compressive sensing is employed to represent object as root filter. The sparsity of measurement matrix is constrained with superpixel segmentation. The part-based model is adopted to filter the local invariant features of parts. The structural constraint strategy between parts and object is developed for adaptive tracking. We test our proposed algorithm on challenging sequences in real world and make qualitative and quantitative analysis. The experimental results demonstrate the method runs in real time and performs well comparable to state-of-the-art tracking.


Keywords: Compressive sensing, Part-based model, Super pixels, Structural constraints.


Acrobat reader logo Click <here> or title of paper to download the full pages article in pdf format



Subscribe the full-page Sensors & Transducers journal in print (paper) or pdf formats

(shipping cost by standard mail for paper version is included)

(25 % discount for IFSA Members)




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 - 2014 Copyright , International Frequency Sensor Association (IFSA) Publishing, S.L. 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