The Infona portal uses cookies, i.e. strings of text saved by a browser on the user's device. The portal can access those files and use them to remember the user's data, such as their chosen settings (screen view, interface language, etc.), or their login data. By using the Infona portal the user accepts automatic saving and using this information for portal operation purposes. More information on the subject can be found in the Privacy Policy and Terms of Service. By closing this window the user confirms that they have read the information on cookie usage, and they accept the privacy policy and the way cookies are used by the portal. You can change the cookie settings in your browser.
In this paper, we tackle the problem of no-reference image quality assessment. This paper proposes a non-distortion-specific image quality evaluator, i.e., deep learning based blind image quality index DL-BIQI, which trained several deep models to estimate the visual quality. Since different distortion types lead to the different influence on images, each model is designed for a specific distortion...
In this paper, the estimation of just noticeable color difference in color images is improved by using a new spatial masking. The internal generative mechanism of human of brain theory implies that the human visual system (HVS) is sensitive to the orderly stimulus possessing structural regularity which is easily to be predicted and is insensitive to the disorderly stimulus containing structural irregularity...
Real-time human detection is a challenging task due to appearance variance, occlusion and rapidly changing content; therefore it requires efficient hardware and optimized software. This paper presents a real-time human detection scheme on a Raspberry Pi. An efficient algorithm for human detection is proposed by processing regions of interest (ROI) based upon foreground estimation. Different number...
The determination of one's movement through the environment (visual odometry or self-motion estimation) from monocular sources such as video is an important research problem because of its relevance to robotics and autonomous vehicles. The traditional computer vision approach to this problem tracks visual features across frames in order to obtain 2-D image motion estimates from which the camera motion...
Most Traditional algorithms using only unilateral estimation or bidirectional estimation usually produce poor visual quality because of the fact that the unilateral motion estimation suffers from holes and overlaps and the bidirectional motion estimation suffers from inaccurate motion vector. This paper presents a new improved Frame rate up conversion(FRUC) scheme which combines the unilateral estimation...
In order to cope with the complex variation of target appearance during visual tracking, a robust tracking algorithm based on multi-scale kernelized least squares (KLS) is proposed. First, by showing that the dense sampling set of translated patches is circulant, using the well-established theory of circulant matrices, kernelized least squares is efficient computed with fast Fourier transform (FFT)...
Although visual tracking have been greatly improved in the last decade, there are still many challenges that are not fully resolved. Of these challenges, occlusions, which can be long lasting, are often ignored. Under the framework of particle filtering, this paper uses the incremental principal component analysis subspace method to learn an orthogonal subspace, then gets the linear representation...
The visually servoed trajectory tracking of quadrotors has attracted many academic researchers over the past decade, and numerous controllers are proposed for this challenging problem. The trajectory tracking controller proposed in this paper follows the Position Based Visual Servoing (PBVS) paradigm. Most of the PBVS controllers, if not all, are implemented assuming that the position of the quadrotor...
A stereo vision based autonomous navigation method for 3-DOF systems is presented in this paper. It is able to tackle the learning and recognition problem of generic scenes in an unstructured environment, providing motion-planning capability to control all the 3 DOFs of a robotic system. In this method, 3 spatial constraints are generated from a single visual recognition to estimate the robot pose...
In computational visual attention systems, various feature maps are constructed and integrated to yield the final fixation map. These maps highlight interesting regions within an image that are deemed salient according to some task. According to Ehinger et al. [1], by combining three types of feature maps, the performance is boosted in terms of predicting where human fixate when searching for pedestrians...
In this paper, we present an iterative two-stage scheme for precise and robust frame-to-frame feature-based ego-motion estimation using stereo cameras. We analyze the characteristics of the optical flows and reprojection errors that are independently induced by each of the decoupled six degrees of freedom motion. As we will show, the different characteristics of these induced optical flows lead to...
Disaster response robots for searching in a narrow area have limited space to mount tactile sensors, but the operators require sensory feedback to recognize contact situations with the surrounding environment. This study proposes a new approach to transmitting contact information of a remote-operated snake-like robot called Active Scope Camera (ASC) to the operator using simple configurations for...
Video analysis is an essential process to segment and summarize sports videos automatically. In this paper, we propose fast and simple computer vision algorithms which can be employed to an event segmentation system for basketball broadcasting videos. In our approach, camera panning is estimated by the optical flow estimation and flow segmentation algorithms. For recognizing shot classes and clock...
Visual tracking and estimation of the 3D posture of a micro/nano-object is a key issue in the development of automated manipulation tasks using the visual feedback. The 3D posture of the micro-object is estimated based on a template matching algorithm. Nevertheless, a key challenge for visual tracking in a scanning electron microscope (SEM) is the difficulty to observe the motion along the depth direction...
Active learning classes, which aim at increasing student participation in class, demand more management skills from the instructor than a conventional lecture class does. However, the instructor rarely recognizes how his/her lessons are different from those of others. The instructor cannot know exactly how one of his/her lessons is different from his/her previous week's lesson. This class-to-class...
A decision-level fusion (DLF)-based team tactics estimation method in soccer videos is newly presented. In our method, tactics estimation based on audio-visual and formation features is newly adopted since the tactics of the soccer game are closely related to the audio-visual sequences and player positions. Therefore, by using these features, we classify the tactics via Support Vector Machine (SVM)...
We present a novel visual-magneto-inertial system for pedestrian indoor navigation. It includes magnetic, inertial and depth sensors integrated into a device that can be hand held by a pedestrian. Our method builds upon a magneto-inertial tachymeter that is able to accurately reconstruct body speed in presence of magnetic gradient and a depth registration algorithm for computing inter-image movement...
Synesthesia is the act of experiencing one sense modality as another, e.g., a person may vividly experience flashes of colors when listening to a series of sounds. Recent technological advances in the Virtual and Augmented Reality field allow to induce such experiences due to the effect of presence achieved in the virtual environment. In this paper, we present initial results related to a particular...
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...
Scientific problems, related to the interaction between IT-services suppliers and consumers in the cloud environments, has been described. The analysis of quality metrics, used for IT-services estimation, has been carried out taking into account the specificity of the cloud infrastructure that focuses on large-scale scientific problems solving. The technique, used for the visual express quality estimation...
Set the date range to filter the displayed results. You can set a starting date, ending date or both. You can enter the dates manually or choose them from the calendar.