Generalized area tracking using complex discrete wavelet transform: the complex wavelet tracker

Download

index.pdf

Date

2007

Author

Yılmaz, Şener

Metadata

Show full item record

Item Usage Stats

70
views

63
downloads

In this work, a new method is proposed that can be used for area tracking. This method is based on the Complex Discrete Wavelet Transform (CDWT) developed by Magarey and Kingsbury. The CDWT has its advantages over the traditional Discrete Wavelet Transform such as approximate shift invariance, improved directional selectivity, and robustness to noise and illumination changes. The proposed method is a generalization of the CDWT based motion estimation method developed by Magarey and Kingsbury. The Complex Wavelet Tracker extends the original method to estimate the true motion of regions according to a parametric motion model. In this way, rotation, scaling, and shear type of motions can be handled in addition to pure translation. Simulations have been performed on the proposed method including both quantitative and qualitative tests. Quantitative tests are performed on synthetically created test sequences and results have been compared to true data. The performance is compared with intensity-based methods. Qualitative tests are performed on real sequences and evaluations are presented empirically. The results are compared with intensity-based methods. It is observed that the proposed method is very accurate in handling affine deformations for long term sequences and is robust to different target signatures and illumination changes. The accuracy of the proposed method is compatible with intensity-based methods. In addition to this, it can handle a wider range of cases and is robust to illuminaton changes compared to intensity-based methods. The method can be implemented in real-time and could be a powerful replacement of current area trackers.

Subject Keywords

Transformations (Mathematics), Digital images, Electrical Engineering, Electronics, Nuclear Engineering.

URI

http://etd.lib.metu.edu.tr/upload/3/12608643/index.pdf
https://hdl.handle.net/11511/17188

Collections

Graduate School of Natural and Applied Sciences, Thesis

Suggestions

OpenMETU
Core

Evaluation of multi target tracking algorithms in the presence of clutter Güner, Onur; Kuzuoğlu, Mustafa; Department of Electrical and Electronics Engineering (2005) This thesis describes the theoretical bases, implementation and testing of a multi target tracking approach in radar applications. The main concern in this thesis is the evaluation of the performance of tracking algorithms in the presence of false alarms due to clutter. Multi target tracking algorithms are composed of three main parts: track initiation, data association and estimation. Two methods are proposed for track initiation in this work. First one is the track score function followed by a threshold c...
Computation of radar cross sections of complex targets by shooting and bouncing ray method Özgün, Salim; Kuzuoğlu, Mustafa; Department of Electrical and Electronics Engineering (2009) In this study, a MATLAB® code based on the Shooting and Bouncing Ray (SBR) algorithm is developed to compute the Radar Cross Section (RCS) of complex targets. SBR is based on ray tracing and combine Geometric Optics (GO) and Physical Optics (PO) approaches to compute the RCS of arbitrary scatterers. The presented algorithm is examined in two parts; the first part addresses a new aperture selection strategy named as “conformal aperture”, which is proposed and formulated to increase the performance of the cod...
Tracker-aware detection : a theoretical and an experimental study Aslan, Murat Şamil; Saranlı, Afşar; Department of Electrical and Electronics Engineering (2009) A promising line of research attempts to bridge the gap between detector and tracker by means of considering jointly optimal parameter settings for both of these subsystems. Along this fruitful path, this thesis study focuses on the problem of detection threshold optimization in a tracker-aware manner so that a feedback from the tracker to the detector is established to maximize the overall system performance. Special emphasis is given to the optimization schemes based on two non-simulation performance pred...
Real time color based object tracking Özzaman, Gökhan; Erkmen, İsmet; Department of Electrical and Electronics Engineering (2005) A method for real time tracking of non-rigid arbitrary objects is proposed in this study. The approach builds on and extends work on multidimensional color histogram based target representation, which is enhanced by spatial masking with a monotonically decreasing kernel profile prior to back-projection. The masking suppresses the influence of the background pixels and induces a spatially smooth target model representation suitable for gradient-based optimization. The main idea behind this approach is that a...
Semi-supervised dimension reduction approaches integrating global and local pattern information Sakarya, Ufuk (Springer Science and Business Media LLC, 2019-02-01) Dimension reduction is an important research area in pattern recognition. Use of both supervised and unsupervised data can be an advantage in the case of lack of labeled training data. Moreover, use of both global and local pattern information can contribute classification performances. Therefore, four important primary components are essential to design a well-performed semi-supervised dimension reduction approach: global pattern modeling by a supervised manner, local pattern modeling by a supervised manne...

Citation Formats

Ş. Yılmaz, “Generalized area tracking using complex discrete wavelet transform: the complex wavelet tracker,” Ph.D. - Doctoral Program, Middle East Technical University, 2007.