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In this demo, we present a system which is designed to gather some significant face features by users. These collected features, then, will be used for sketch-photo or caricature-photo or montage portrait-photo matching. While presenting the system, we are also planning to collect data from volunteers.
In this study, an automatic and rule based approach which extracts bridges over water in satellite images is developed. To find the bridges in the image, possible water regions are first found using thresholding and clustering methods. Candidate bridge regions are then extracted by applying morphological operations to the water mask. Also the algorithm proposes an optional verification step that uses...
In this paper, we investigate a multi-carrier multi-relay cooperative system with amplify-and-forward relaying over frequency-selective underwater acoustic channels. Relay selection rules rely on the maximization of signal-to-noise ratio (SNR). We basically use two distinct relay selection schemes; one bases on SNR-summation and the other bases on selecting the relay which gives the best SNR among...
Design and performance measures of a printed multistrip monopole antenna for ultra-wideband application are presented. The proposed antenna consists of six quarter wavelength strips of different resonant frequency combined in a manner to provide wide bandwidth and omnidirectional pattern. It operates in the frequency range 2.22∼15.8 GHz with impedance bandwidth (VSWR < 2) of 6 GHz and maximum...
In this work, a real time video stabilization system is developed for reducing unwanted irregular motions caused by unstable handshaking or vibration and keeping wanted changes in video sequence captured by cameras. The video stabilization system consists of phase correlation based global motion estimation and Kalman filtering based motion correction. The developed system is implemented on a TI DSP...
Over the last few years, interest on paralinguistic information classification has grown considerably. However, in comparison to related speech processing tasks such as Automatic Speech and Speaker Recognition, practically no standardised corpora and test-conditions exist to compare performances under exactly the same conditions. The successive challenges proposed at the world's largest conference...
In this paper an uncooled infrared camera with embedded target detection and tracking capability is presented. The camera is built upon four main electronic cards. Sensor card is designed to read and digitize the analog output signal generated by the infrared (IR) imaging sensor. FPGA card carries out the control process of the data transfer between sensor card and other peripherals. Target detection/tracking...
The environmental conditions, e.g., fading, multi-path, obstructions, in smart grid environment, prevent reliable and successful packet transmissions for Wireless Sensor Network (WSN) technology. To provide reliable communications with WSN, to overcome the harsh environmental conditions of smart grid, and to prolong the network life time, reliable link quality estimation should be made and routing...
The efficiency and safety of many complex human-machine systems such as Unmanned Aerial Vehicle (UAV) are closely related to the cognitive workload and situational awareness of their operators. Subjective operator reports, physiological and behavioral measures are not reliably sensitive for monitoring cognitive overload. Drexel's Optical Brain Imaging Team has already developed a portable safe and...
Traditional analysis of brain signals is often realized under assumptions such as stationarity, linearity, predetermined frequency bands and basis functions. These strong assumptions imposed on brain signals might cause distortions leading to improper results. This study adapts a data-driven approach called ‘empirical mode decomposition’ in order to avoid unrealistic assumptions and minimize the parameter...
In this paper, it is proposed that in order to guarantee a certain level of Quality of service (QoS) for different applications in a femtocell network, it is necessary to use application-based scheduling in femtocell access points (FAP). A novel scheduler is designed which can prioritize each application considering their various QoS requirements. The scheduler aims to divide the limited wireless...
In this paper we describe several indoor scenarios for ambient intelligence settings with a data collection setup that uses two omni-directional cameras, and challenges posed by realistic illumination and occlusion settings. Single-person and multi-person activities are recorded and annotated. We describe baseline and feature-based tracking systems and comparatively analyse tracker performance in...
In this work, the performance of a target detection algorithm to be used against maritime platforms is evaluated in real-time. The software developed in this work includes an infrared (IR) Scene Generator Software, a Heat Transfer Software, an IR Sensor Model Software and a Target Detection Software. In order to enable all software components to operate in real time for large format images, the routines...
This work introduces a real-time video-based open-set face recognition system. The system has been developed for the identification of people who stand in front of an interactive screen to communicate with a virtual application. The system uses Discrete Cosine Transform (DCT) features obtained from non-overlapping 20 blocks, and Support Vector Machines (SVM) based verifiers are employed for the classification...
In this paper, two different physical layer network coding (PLNC) systems that apply antenna selection technique at the relay, consisting of two single-antenna terminals and a multi-antenna relay are proposed. The bound expressions of symbol error rate (SER) of the systems over frequency non-selective and slowly Rayleigh fading channels for M-PSK modulation are derived by using the moment generating...
Participatory sensing is a new paradigm that is based on the data collection, such as images, air and noise measurements, through the embedded digital sensors and radios on current smartphones owned by voluntary users. The participants in such a system can either be self-motivated or persuaded through incentives with amounts depending on factors such as quality of the contributed data or sensors,...
In order to recognize the facial expression of a person, the knowledge of the neutral facial expression of that person is useful but may not always be available.We present a method based on Gaussian mixture models (GMM) to estimate the unknown neutral facial expression of an expressive face. The estimated neutral face is then subtracted from the features of the expressive image and classified using...
In this study, an automated method that is based on image intensities for geometric registration of multi-sensor/multi-resolution imagery acquired from EO-1 Hyperion and IKONOS satellite platforms is proposed. Method performs an area-based transformation to register images of different spectral and spatial resolution with high geometric accuracy. Method basically compares similarity of intensities...
In this paper, a classification system based on association rule to determine the types of power quality event is presented. Firstly, a single feature vector representing three phase event signal is obtained by applying the wavelet transform to event signals in this system. The inputs of generating association rules algorithm are obtained by applying proper transform process to these feature vectors...
In this paper, the robustness of the measures that are used for image registration are tested for common distortions seen in images. Luminance Transform Operation (LTO) is proposed to be used in image registration applications. Performance of the LTO is compared to the Normilized Cross Correlation (NCC) and Mutual Information (MI) measures. Image registration process is carried out between different...
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