Paper Info
Title
Visual tracking with multiple representative models based on sparse prototypes
Abstract
Online visual tracking plays a critical role in research and application of computer vision, and it is still a challenging task to alleviate the possibility of drift. In this paper, a robust visual tracker is proposed with multiple representative appearance models based on sparse prototypes. Benefitting from the representation with sparse prototypes, the multiple representative appearance models maintain representative and discriminative features of the target appearance. The multiple models are triggered to recognize the target in challenging cases with an effective strategy, which is demonstrated by the extensive experiments.
Year
DOI
Venue
2014
10.1145/2663761.2663766
RACS
Keywords
Field
DocType
visual tracking,representative appearance model,online visual tracking,tracking,multiple appearance models,computer vision
Computer vision,Computer science,Eye tracking,Artificial intelligence,Discriminative model,Machine learning,Multiple Models
Conference
Citations 
PageRank 
References 
0
0.34
10
Authors
2
Name
Order
Citations
PageRank
Deqian Fu174.51
Seong Tae Jhang2208.59