Tracking by classifications

Download
2013
Marpuç, Tuğhan
Novel online classifiers are examined and their applications on 2D visual tracking are analyzed in this study. Recently, an emerging class of methods, namely tracking by classification or tracking by detection, achieved quite promising results on challenging tracking data sets. These techniques train a classifier in an online manner during tracking to separate the object from its background. These methods only take input location of the object and a random feature pool; then, a classifier bootstraps itself by using the current tracker state and extracted positive and negative samples. In this thesis, several of these online classifiers are analyzed and a novel tracking system is proposed. A novel feature selection method is introduced to increase the discriminative power of the classifier and a Monte Carlo experiment is setup to observe the performance of the proposed technique. As a final step, a Hidden Markov Model (HMM) is utilized to filter the features that improve the performance during tracking. Moreover, a state of the proposed HMM is allocated to handle occlusions. The proposed tracker is tested on publicly available challenging video sequences and superior tracking results are achieved in real-time.

Suggestions

A Comparison of spatial modulation and spatial multiplexing systems in multipath fading channels
Saygılı, Halil; Yılmaz, Ali Özgür; Department of Electrical and Electronics Engineering (2013)
In this thesis, multiple antenna transmission techniques like spatial multiplexing, spatial modulation and multiple active spatial modulation are compared in multipath fading channels. Maximum likelihood sequence estimation (MLSE) based on the Ungerboeck observation model is the optimal operation for intersymbol interference channels and applied on the mentioned multiple antenna transmission strategies. The performance analysis based on Monte Carlo simulations and comparison of the computational complexity ...
A study on sixth grade students’ spatial reasoning regarding 2D representations of 3D objects
Eryaman, Zeynep; Çakıroğlu, Erdinç; Department of Elementary Science and Mathematics Education (2009)
The main purpose of this study was to investigate the contributions of spatial visualization and spatial orientation tasks regarding 2D representations of 3D objects and isometric drawing to the development of sixth grade students’ spatial reasoning. The study also aimed to investigate students’ performances on spatial tasks during the classes and to explore their views and feelings about the spatial tasks. Data were collected from 24 6th grade students in a private school located in Ankara. The design of t...
Eye tracking in multimodal comprehension of graphs
Acartürk, Cengiz (2012-07-31)
Eye tracking methodology has been a major empirical research approach for the study of online comprehension processes in reading and scene viewing. The use of eye tracking methodology for the study of diagrammatic representations, however, has been relatively limited so far. The investigation of specific types of diagrammatic representations, such as statistical graphs is even scarce. In this study, we propose eye tracking as an empirical research approach for a systematic analysis of multimodal comprehensi...
A GIS based spatial data analysis in Knidian amphora workshops in Reşadiye
Kıroğlu, M. Fatih; Tuna, Numan; Düzgün, Şebnem; Department of Geodetic and Geographical Information Technologies (2003)
The main objective of this study is to determine main activity locations and correlation between different artifact types in an archaeological site with geographical information systems (GIS) and spatial data analyses. Knidian amphora workshops in Datça peninsula are studied in order to apply GIS and spatial statistical techniques. GIS capabilities are coupled with some spatial statistical software and spatial data analysis steps are followed. Both point and area datasets are examined for the effective anal...
3D marker tracking for human gait analysis
Küçük, Can; Halıcı, Uğur; Department of Electrical and Electronics Engineering (2005)
This thesis focuses on 3D marker tracking for human gait analysis. In KISS Gait Analysis System at METU, a subject's gait is recorded with 6 cameras while 13 reflective markers are attached at appropriate locations on his/her legs and feet. These images are processed to extract 2 dimensional (2D) coordinates of the markers in each camera. The 3 dimensional (3D) coordinates of the markers are obtained by processing the 2D coordinates of the markers with linearization and calibration algorithms. Then 3D traje...
Citation Formats
T. Marpuç, “Tracking by classifications,” M.S. - Master of Science, Middle East Technical University, 2013.