Real time color based object tracking

Özzaman, Gökhan
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 an increase in the number of quantized feature spaces used to generate the target probability distribuition function during histogram back-projection can lead to improved target localization. Target localization is performed using the recursive Mean shift procedure, which climbs the underlying density graidients of the discrete data to find the mode (peak) of the distribution. Finally, the real time test cases, such as occlusion, target scale and orientation changes, varying illumination and background clutter, are demonstrated.


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...
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...
A video tracker system for traffic monitoring and analysis
Ocaklı, Mehmet; Demirekler, Mübeccel; Department of Electrical and Electronics Engineering (2007)
In this study, a video tracker system for traffic monitoring and analysis is developed. This system is able to detect and track vehicles as they move through the camera’s field of view. This provides to perform traffic analysis about the scene, which can be used to optimize traffic flows and identify potential accidents. The scene inspected in this study is assumed stationary to achieve high performance solution to the problem. This assumption provides to detect moving objects more accurately, as well as ab...
High performance readout electronics for uncooled infrared detector arrays
Yıldırım, Ömer Özgür; Akın, Tayfun; Department of Electrical and Electronics Engineering (2006)
This thesis reports the development of high performance readout electronics for resistive microbolometer detector arrays that are used for uncooled infrared imaging. Three different readout chips are designed and fabricated by using a standard 0.6 m CMOS process. Fabricated chips include a conventional capacitive transimpedance amplifier (CTIA) type readout circuit, a novel readout circuit with dynamic resistance nonuniformity compensation capability, and a new improved version of the CTIA circuit. The fabr...
Real time 3d surface feature extraction on fpga
Tellioğlu, Zafer Haşim; Ulusoy, İlkay; Department of Electrical and Electronics Engineering (2010)
Three dimensional (3D) surface feature extractions based on mean (H) and Gaussian (K) curvature analysis of range maps, also known as depth maps, is an important tool for machine vision applications such as object detection, registration and recognition. Mean and Gaussian curvature calculation algorithms have already been implemented and examined as software. In this thesis, hardware based digital curvature processors are designed. Two types of real time surface feature extraction and classification hardwar...
Citation Formats
G. Özzaman, “Real time color based object tracking,” M.S. - Master of Science, Middle East Technical University, 2005.