Visual tracking with group motion approach

Download
143476.pdf
2003
Arslan, Ali Erkin
Show full item record
154
views
0
downloads
Computer vision
https://hdl.handle.net/11511/13833
Graduate School of Natural and Applied Sciences, Thesis

Suggestions

Motion estimation using complex discrete wavelet transform
Sarı, Hüseyin; Severcan, Mete; Department of Electrical and Electronics Engineering (2003)
The estimation of optical flow has become a vital research field in image sequence analysis especially in past two decades, which found applications in many fields such as stereo optics, video compression, robotics and computer vision. In this thesis, the complex wavelet based algorithm for the estimation of optical flow developed by Magarey and Kingsbury is implemented and investigated. The algorithm is based on a complex version of the discrete wavelet transform (CDWT), which analyzes an image through blo...
Non-destructive testing of textured foods by machine vision
Beriat, Pelin; Çetin, Yasemin; Department of Information Systems (2009)
In this thesis, two different approaches are used to extract the relevant features for classifying the aflatoxin contaminated and uncontaminated scaled chili pepper samples: Statistical approach and Local Discriminant Bases (LDB) approach. In the statistical approach, First Order Statistical (FOS) features and Gray Level Cooccurrence Matrix (GLCM) features are extracted. In the LDB approach, the original LDB algorithm is modified to perform 2D searches to extract the most discriminative features from the hy...
Feature Detection Performance Based Benchmarking of Motion Deblurring Methods: Applications to Vision for Legged Robots
Gultekin, Gokhan Koray; Saranlı, Afşar (Elsevier BV, 2019-02-01)
Dexterous legged robots can move on variable terrain at high speeds. The locomotion of these legged platforms on such terrain causes severe oscillations of the robot body depending on the surface and locomotion speed. Camera sensors mounted on such platforms experience the same disturbances, hence resulting in motion blur. This is a particular corruption of the image and results in information loss further resulting in degradation or loss of important image features. Although motion blur is a significant pr...
Data-driven image captioning via salient region discovery
Kilickaya, Mert; Akkuş, Burak Kerim; Çakıcı, Ruket; Erdem, Aykut; Erdem, Erkut; İKİZLER CİNBİŞ, NAZLI (Institution of Engineering and Technology (IET), 2017-09-01)
n the past few years, automatically generating descriptions for images has attracted a lot of attention in computer vision and natural language processing research. Among the existing approaches, data-driven methods have been proven to be highly effective. These methods compare the given image against a large set of training images to determine a set of relevant images, then generate a description using the associated captions. In this study, the authors propose to integrate an object-based semantic image r...
A hierarchical representation of form documents for identification and retrieval
Duygulu, Pinar; Atalay, Mehmet Volkan (Springer Science and Business Media LLC, 2003-12-01)
In this paper, we present a logical representation for form documents to be used for identification and retrieval. A hierarchical structure is proposed to represent the structure of a form by using lines and the XY-tree approach. The approach is top-down and no domain knowledge such as the preprinted data or filled-in data is used. Geometrical modifications and slight variations are handled by this representation. Logically identical forms are associated to the same or similar hierarchical structure. Identi...
Citation Formats
A. E. Arslan, “Visual tracking with group motion approach,” M.S. - Master of Science, Middle East Technical University, 2003.
METU IIS - Integrated Information Service open@metu.edu.tr