Document Detail


What are We Tracking: A Unified Approach of Tracking and Recognition.
MedLine Citation:
PMID:  22997269     Owner:  NLM     Status:  Publisher    
Abstract/OtherAbstract:
Tracking is essentially a matching problem. While traditional tracking methods mostly focus on low-level image correspondences between frames, we argue that highlevel semantic correspondences are indispensable to make tracking more reliable. Based on that, a unified approach of low-level object tracking and high-level recognition is proposed for single object tracking, in which the target category is actively recognized during tracking. High-level offline models corresponding to the recognized category are then adaptively selected and combined with low-level online tracking models so as to achieve better tracking performance. Extensive experimental results show that our approach outperforms state-of-the-art online models in many challenging tracking scenarios such as drastic view change, scale change, background clutter, and morphable objects.
Authors:
J Fan; X Shen; Y Wu
Related Documents :
23669659 - Estimating detection and identification probabilities in maritime target acquisition.
23874989 - Inferring potential microrna-microrna associations based on targeting propensity and co...
23877239 - A model to describe the performance of the uasb reactor.
7452719 - Use of a pet in medical data logging.
23861909 - Accurate and precise dna quantification in the presence of different amplification effi...
9559109 - A pc-based workstation for real-time acquisition, processing, and display of electromyo...
20057099 - Management of combined sewer overflows based on observations from the urbanized liguori...
25477679 - Comparative efficacy of storage bags, storability and damage potential of bruchid beetle.
9228329 - Within-subject variation of carcinoembryonic antigen in colorectal cancer -- applicatio...
Publication Detail:
Type:  JOURNAL ARTICLE     Date:  2012-9-13
Journal Detail:
Title:  IEEE transactions on image processing : a publication of the IEEE Signal Processing Society     Volume:  -     ISSN:  1941-0042     ISO Abbreviation:  IEEE Trans Image Process     Publication Date:  2012 Sep 
Date Detail:
Created Date:  2012-9-21     Completed Date:  -     Revised Date:  -    
Medline Journal Info:
Nlm Unique ID:  9886191     Medline TA:  IEEE Trans Image Process     Country:  -    
Other Details:
Languages:  ENG     Pagination:  -     Citation Subset:  -    
Export Citation:
APA/MLA Format     Download EndNote     Download BibTex
MeSH Terms
Descriptor/Qualifier:

From MEDLINE®/PubMed®, a database of the U.S. National Library of Medicine


Previous Document:  Linear Distance Coding for Image Classification.
Next Document:  Exemplar-based Image Inpainting using Multiscale Graph Cuts.