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Stress is a response to time pressure or negative environmental conditions. If its stimulus iterates or stays for a long time, it affects health conditions. Thus, stress recognition is an important issue. Traditional systems for this purpose are mostly contact-based, i.e., they require a sensor to be in touch with the body which is not always practical. Contact-free monitoring of the stress by a camera...
Forensics facial images are usually provided by surveillance cameras and are therefore of poor quality and resolution. Simple upsampling algorithms can not produce artifact-free higher resolution images from such low-resolution (LR) images. To deal with that, reconstruction-based super-resolution (SR) algorithms might be used. But, the problem with these algorithms is that they mostly require motion...
One of the most important issues in gaming is deciding about the employed interfacing technology. Gamepad has traditionally been a popular interfacing technology for the gaming industry, but, recently motion controlled interfacing has been used widely in this industry. This is exactly the purpose of this paper to study whether the motion controlled interface is a feasible alternative to the gamepad,...
The heart pulsation sends out the blood throughout the body. The rate in which the heart performs this vital task, heartbeat rate, is of curial importance to the body. Therefore, measuring heartbeat rate, a.k.a. pulse detection, is very important in many applications, especially the medical ones. To measure it, physicians traditionally, either sense the pulsations of some blood vessels or install...
Facial expression logs from long video sequences effectively provide the opportunity to analyse facial expression changes for medical diagnosis, behaviour analysis, and smart home management. Generating facial expression log involves expression recognition from each frame of a video. However, expression recognition performance greatly depends on the quality of the face image in the video. When a facial...
Biometrics and soft biometrics characteristics are of great importance in forensics applications for identifying criminals and law enforcement. Developing new biometrics and soft biometrics are therefore of interest of many applications, among them forensics. Heartbeat signals have been previously used as biometrics, but they have been measured using contact-based sensors. This paper extracts heartbeat...
Pain is a vital sign of human health and its automatic detection can be of crucial importance in many different contexts, including medical scenarios. While most available computer vision techniques are based on RGB, in this paper, we investigate the effect of combining RGB, depth, and thermal facial images for pain intensity level recognition. For this purpose, we extract energies released by facial...
Face alignment in video is a primitive step for facial image analysis. The accuracy of the alignment greatly depends on the quality of the face image in the video frames and low quality faces are proven to cause erroneous alignment. Thus, this paper proposes a system for quality aware face alignment by using a Supervised Decent Method (SDM) along with a motion based forward extrapolation method. The...
Facial images are of critical importance in many real-world applications from gaming to surveillance. The current literature on facial image analysis, from face detection to face and facial expression recognition, are mainly performed in either RGB, Depth (D), or both of these modalities. But, such analyzes have rarely included Thermal (T) modality. This paper paves the way for performing such facial...
Traditional still camera-based facial image acquisition systems in surveillance applications produce low quality face images. This is mainly due to the distance between the camera and subjects of interest. Furthermore, people in such videos usually move around, change their head poses, and facial expressions. Moreover, the imaging conditions like illumination, occlusion, and noise may change. These...
Feeding low-resolution and low-quality images, from inexpensive surveillance cameras, to systems like, e.g., face recognition, produces erroneous and unstable results. Therefore, there is a need for a mechanism to bridge the gap between on one hand low-resolution and low-quality images and on the other hand facial analysis systems. The proposed system in this paper deals with exactly this problem...
Super resolution algorithms are necessary for improving the quality of low resolution video sequences from surveillance cameras. These algorithms have two main problems: first, they hardly can improve the quality of their inputs by factors bigger than two. Second, applying them to real video sequences usually produces unstable and noisy output. The proposed system in this paper deals with these two...
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