Visual Tracking Using Sparse Representation

Please enable javascript in your browser.

This page was sent successfuly

Bookmark

1513 viewed

ردیابی بصری با استفاده از نمایش تنک

1513 Viewed

Type of Document: M.Sc. Thesis
Language: Farsi
Document No: 43331 (19)
University: Sharif University of Technology
Department: Computer Engineering
Advisor(s): Manzuri Shalmani, Mohammad Taghi
Abstract:
When an object or its background changes, occlusion or shape change occurs, most of the existed methods fail to track the target. To tackle this problem, we want to use sparse representation that has a great power in classification and reconstruction. Sparsity is a typical and practical hypothesis in many spaces. If a signal isn’t sparse in a space, it can be transformed to another space that is sparse in it. Articles that are published on visual tracking using sparse representation show that this field has attracted a lot of interest in the recent years. Here we have proposed two new methods that have reasonable results. Moreover, while it is well known that sparse representation-based methods are time consuming the second method shows reasonable results to reduce this problem.
Keywords:
Sparse Representation ; Dictionary Learning ; Visual Tracking ; Sparse Coding