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Robotics has impacted many domains and industries. Robotics in education has been of particular interest to researchers and educationalists through the past decade. Various studies have confirmed that robots have had a positive impact on teaching skills in various subjects. In this paper, we develop and discuss a prototype for a robot language tutor. We use various vision techniques for behavior analysis...
Face spoofing detection nowadays has attracted attentions regarding the biometrics authentication issue. Inspired by the observation that face spoofing detection is highly relevant with the inherent image quality which also strongly depends on the properties of the capturing devices and conditions, in this paper, we tackle the spoofing detection problem based on a two-stage learning approach. Firstly,...
Securing face recognition systems against replay attacks has been recognized as a real challenge. In this work, the problem of fake face detection is addressed by modelling radiometric distortions involved in the recapturing process. The originality of our approach is that the fake face detection process occurs after the face identification process. Having access to enrolment data of each client,...
In recent era surveillance systems play a vital role in our daily life. The goal of surveillance systems is to collect the desired information about concerned targets in the sensing environment. Traditional surveillance systems are limited by a predefined monitoring pattern. It can render a reduced system reliability. Moreover, the system is always functional regardless of the target presence. It...
The physiological information of respiration behavior indicates both of lungs and chest operating status. General speaking, the traditional measurement is usually to apply the wearable or contact instrument which cause subject to be inconvenient and uncomfortable. This paper adopted the noncontact respiration monitoring system combining image processing and data analysis. We implement the infrared...
Face recognition under surveillance circumstances still poses a significant problem due to low data quality. Nevertheless, automatic analysis is highly desired for criminal investigations due to the growing amount of security cameras worldwide. We suggest a face recognition system addressing the typical issues such as motion blur, noise or compression artifacts to improve low-quality recognition rates...
Accurate camera calibration is a crucial computer vision task for any application that deduces metric knowledge about an object's size, shape and location from 2D digital images. Over the last decade, a large number of approaches that have been proposed in literature, however no generalized technique exists and steady advancements in imaging hardware constantly compel the need for even more accurate...
We present a novel pipeline for augmenting a 3D eye-glass mesh into a person's face. While doing so, we take care about the proper fitment of the glass in terms of pupilary distance computed automatically, which is user-friendly in compare to standard marker based approaches. Our method also performs rigid eye-glass temple correction during augmentation followed by tracking to present realistic rendering...
In this paper, we analyze some of our real-world deployment of face recognition (FR) systems for various applications and discuss the gaps between expectations of the user and what the system can deliver. We evaluate some of the existing algorithms with modifications for applications including FR on wearable devices (like Google Glass) for improving social interactions, monitoring of elderly people...
In this paper we evaluate the performance of CNN in regards to face recognition for real world applications. In recent years, many high performance deep neural networks have been proposed to the face recognition world. These deep networks were trained by images provided by the internet, and they commonly are of good quality when facial expression and posture are not particularly complex. However,...
Fast expansion of Advanced Driver Assistance Systems (ADAS) market and applications has resulted in a high demand for various accompanying algorithms. In this paper we present an implementation of Driver monitoring algorithm. Main goal of the algorithm is to automatically asses if driver is tired and in that case, raise a proper alert. It is widely used as a standard component of rest recommendation...
This paper discusses the use of image processing technique to detect lizards in a video stream. We discuss the categorization of form perception, human perception, and animal perception. The sub-categories of them are briefly discussed. We defragmented the video into a total of 3459 images, some are with only background scene, some contains lizard. We discuss how we apply background subtraction to...
This paper presents a method for real-time detection and tracking of the human face. This is achieved using the Raspberry Pi microcomputer and the Easylab microcontroller as the main hardware with a camera mounted on servomotors for continuous image feed-in. Real-time face detection is performed using Haar-feature classifiers and ScicosLab in the Raspberry Pi. Then, the Easylab is responsible for...
The excess of fatigue could result in someone's death. The result of questionnaire which author had distributed to 50 people that have work hourmore than 8 hour mentioned that 80% respondents detected to be fatigue, but from the percentage of the total, who consulted it to a doctor just as much as 5%. Intel, the giant microprocessor maker in the world, has made a camera that can capture image condition...
We present the first demonstration of end-to-end far-to-near situated interaction between an uninstrumented human user and an initially distant outdoor autonomous Unmanned Aerial Vehicle (UAV). The user uses an arm-waving gesture as a signal to attract the UAV's attention from a distance. Once this signal is detected, the UAV approaches the user using appearance-based tracking until it is close enough...
Real-time facial performance capture has recently been gaining popularity in virtual film production, driven by advances in machine learning, which allows for fast inference of facial geometry from video streams. These learning-based approaches are significantly influenced by the quality and amount of labelled training data. Tedious construction of training sets from real imagery can be replaced by...
We present a system which is able to reconstruct human faces on mobile devices with only on-device processing using the sensors which are typically built into a current commodity smart phone. Such technology can for example be used for facial authentication purposes or as a fast preview for further post-processing. Our method uses recently proposed techniques which compute depth maps by passive multi-view...
In this work, facial thermal infrared images are employed for intoxicated person discrimination. Specifically, the region of the forehead of the face of the sober and the intoxicated person are used to test if the employed local difference patterns can result into discriminative features. For an intoxicated person, vessels on the forehead become more active so that the intensity of the pixels in this...
Multi-spectral face recognition has acquired significant attention over a last few decades due to its potential of capturing spatial and spectral information across the electromagnetic spectrum. In this paper, we present a new imaging scheme that can obtain the multi-spectral face image at nine different spectra covering 530nm–1000nm. We prepared a new database comprising of 230 subjects using our...
In this paper we introduce CoBoard1 Flowers, an audio-visual public installation for Prague Spring International Music Festival. An interactive visualization with floral motifs is shown and is controlled by a face detection technology, enabled by a computer vision algorithm. The visualization is controlled by the estimated position, distance, gender, and age of the participants. The visualization...
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