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This paper presents a feasibility study on heart rate detection using a digital camera. The paper investigates the possibility of Heart rate detection for individuals far from the camera sensor. The study is done to exploit the feasibility for heart rate estimation using a digital camera to enables health monitoring in visual surveillance. An experiment was conducted using 14 healthy subjects of various...
This paper proposes an evaluation metric which derive the effectiveness of background modeling algorithms. Background modeling is a key process on developing visual surveillance systems. The requirement of adapting to dynamic environments has motivated researchers to modify existing background modeling algorithms and develop new algorithms with better adaptability. Having the algorithms developed,...
Up to the present moment, there is lacking a suitable database for the purpose of research into the field of facial recognition to combat terrorism and acts of violence. As far as we know, there are no databases in existence that is publicly available and specifically incorporates photographic images of fugitive criminals and dangerous individuals. With aim to aid the afore-mentioned research effort,...
EEG topographic mapping is used to examine the effect of the different cognitive tasks (math and decision-making problems) on drivers' cognitive state. Two simulated driving sessions, namely driving with distraction and driving without distraction are designed to investigate the impact of the secondary tasks on EEG responses and driving performance. Forty two subjects participated in this study and...
Normal oscillations in different frequency bands have an important role in cognitive processing in the frontal region. The key issue is whether frequency oscillations of Electroencephalography (EEG) are related to cognitive task or not in occipital region. All frequency bands delta (δ), theta (θ), alpha (α), beta (β) and gamma (γ) are involved in brain tasks. This study is conducted to investigate...
This paper has introduced a framework for indoor navigation implemented by using a computer, Android device and Lego Mindstorms NXT robot. The Lego Mindstorms NXT robot explores and navigates autonomously through a known environment, making its own decisions. An Android device is used for object recognition. The robot is able to localize itself based on the landmark observed using ORB (oriented fast...
There have been reports that some people who watch 3D movies experience motion sickness symptoms. In this research work, the change in dynamics of mental activity of subjects is evaluated to understand the reason behind the sickness. Cortical activity of the brain recorded from subjects who watch a stimulus (movie) on 2D and 3D TV. We propose that brain waves recorded using EEG device can be analysed...
Background and purpose Ultrasound imaging is a very essential technique in medical diagnosis due to its being safe, economical and non-invasive nature. Despite its popularity, the US images, however, are corrupted with speckle noise, which reduces US images qualities, hampering image interpretation and processing stage. Hence, there are many efforts made by researches to formulate various despeckling...
Video games have long been part of the entertainment industry. Nonetheless, it is not well known how video games can affect us with the advancement of 3D technology. The purpose of this study is to investigate the EEG signals regularity when playing video games in 2D and 3D modes. A total of 29 healthy subjects (24 male, 5 female) with mean age of 21.79 (1.63) years participated. Subjects were asked...
The onset of osteoarthritis (OA), a most common knee joint disease, can be characterized by the degeneration of articular cartilage (AC). Degenerative changes in AC have been assessed by the morphological and physiological measurements using non-invasive modality such as Magnetic Resonance Imaging (MRI) to obtain MRI images of the knee. However, visualization and quantification of AC from MR images...
The aim of this study is to control home devices using a non invasive brain computer interface (BCI). The Electroencephalographic signals (EEG) recorded from the brain activity using the Emotiv EPOCH headset are interfaced with the help of mouse emulator to a graphical user interface (GUI) on the computer screen. The user will use this GUI to control various devices in a smart home. This application...
This paper presents a system for recognition of 3D hand gestures for the purpose controlling and manipulating robots. This objective of the work is to allow the robot to mimic or imitate the recognized gesture which can be used for remote manipulation of a robotic arm to perform complex task (teleoperatoin). Telerobotics systems rely on computer vision to create the human-machine interface. In this...
3D technology emerged as a new source of entertainment these days but unfortunately visual fatigue, headache and eyestrains have been reported by end users. A more severe effect is the development of Visually Induced Motion Sickness (VIMS). We hypothesize that VIMS is caused by rapid adjustment of the pupil diameter of the human eye. To test this hypothesis we have designed an experiment to observe...
We present a novel method for computing depth of field and geometry from a single 2D image. This technique, unlike the existing ones measures the absolute depth of field and distances in the scene from single image only using the concept of triangulation. This algorithm requires minimum inputs such as camera height, camera pitch angle and camera field of view for computing the depth of field and 3D...
In this paper, a subspace-based technique for speckle noise reduction in images is proposed. The method is based on a linear model obtained by minimizing the energy of image distortion while keeping the energy of the residual noise in each spectral component below some given threshold. Image enhancement is achieved by removing the noise subspace and estimating the clean signal from the remaining signal...
Real world contains a wide range of intensities that cannot be captured with traditional imaging devices. Moreover, even if these images are captured with special procedures, existing display devices cannot display them. This paper presents a comparative study of most famous tone mapping algorithms. Tone mapping is the process of compressing high dynamic range images into a low dynamic range so they...
In this paper a subspace based technique is proposed for removal of additive white noise in images. The method is based on Time-Domain constrained (TDC) estimator in which the residual noise energy is kept below a threshold while minimizing the signal distortion. The denoising technique employed prewhitening method prior to the subspace filter which is proven to give remarkable results. Experiments...
In this paper a new subspace based technique is proposed for removal of additive white noise in images. The method is based on Time-Domain constrained (TDC) estimator in which the residual noise energy is kept below a threshold while minimizing the signal distortion. The denoising technique employed prewhitening method prior to the subspace filter which is proven to give remarkable results. Experiments...
This paper investigates depth estimation using monocular cues. Human visual system uses monocular cues such as texture, focus and shading for depth perception. Our proposed algorithm is based on segmenting the image into homogenous segments (superpixels), and then out of these segments we extract the ground segment and the sky segment. These two segments guide the depth estimation by providing region...
Stochastic filters have been extensively used for object tracking because of its ability to measure uncertainties and high accuracy. In recent years, the availability of cheap computers with high computational power has led to incorporate tracking systems in many consumer electronics devices such as surveillance cameras and game consoles. In this paper, we compare Kalman filter and particle filter...
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