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In this paper, a method for recognizing pointing gestures without markers is proposed. The video-based system uses one camera, which observes the user in front of a screen and identifies the points pointed by him on this screen, his arm being in the fully extended position towards the screen. A GVF-snake was used in order to find the silhouette of the user. From the silhouette features like position...
A convenient solution to RGB-Infrared photography is to extend the basic RGB mosaic with a fourth filter type with high transmittance in the near-infrared band. Unfortunately, applying conventional demosaicing algorithms to RGB-IR sensors is not possible for two reasons. First, the RGB and near-infrared image are differently focused due to different refractive indices of each band. Second, manufacturing...
In this paper, we propose an innovative human tracking algorithm, which efficiently integrates the deformable part model (DPM) into the multiple-kernel based tracking using a moving camera. By representing each part model of a DPM detected human as a kernel, the proposed algorithm iteratively mean-shift the kernels (i.e., part models) based on color appearance and histogram of gradient (HOG) features...
The paper takes the automatic detection of pedestrians from a vehicle into consideration using an automotive night vision system. Accidents involving pedestrians at night cause a significant part of deaths in the roads. Therefore, the authors present a design of the automotive night vision system that combines the passive solutions, i.e. those using thermal vision, and active, which use the near infrared...
Image blur from camera shake is a common cause for poor image quality in digital photography, prompting a significant recent interest in image deblurring. The vast majority of work on blind deblurring splits the problem into two subsequent steps: First, the blur process (i.e., blur kernel) is estimated, then the image is restored given the estimated kernel using a non-blind deblurring algorithm. Recent...
A novel and high-quality system for moving object detection in sequences recorded with moving cameras is proposed. This system is based on the collaboration between an automatic homography estimation module for image alignment, and a robust moving object detection using an efficient spatio-temporal nonparametric background modeling.
Indoor positioning technology has been a goal of ubiquitous computing research. In this paper, we show the feasibility of detecting fluorescent light based on the camera images received from a smart phone. We present a robust and real time approach to fluorescent light detection in indoor environments. It is based on taking a ceiling image by Smartphone image sensor, filtering using selective oriented...
People tracking is a crucial component of many intelligent video surveillance systems and recent developments in embedded computing architectures and algorithms allow us to design compact, lightweight and energy efficient systems aimed at tackling this problem. In particular, the advent of cheap RGBD sensing devices enables to exploit depth information as additional cue. In this paper we propose a...
Depth estimation from defocus (DFD) has proved to be an efficient way to recover depth information based on the blur amount of defocus images. By introducing a multi-scale strategy into DFD, a novel depth estimation method from a single defocused image is proposed in this paper. The original input image is re-blurred using Gaussian kernels with different scale parameters, then a robust estimation...
We present a motion deblurring framework for a wheeled mobile robot. Motion blur is an inevitable problem in a mobile robot, especially side-view cameras severely suffer from motion blur when a mobile robot moves forward. To handle motion blur in a robot, we develop a fast motion deblurring framework using the concept of coded exposure. We estimate a blur kernel by a simple template matching between...
This demo presents a method of visual tracking using the output of an event-based asynchronous neuromorphic event-based camera. The approach is event-based thus adapted to the scene-driven properties of these sensors. The method allows to track multiple visual features in real time at a frequency of several hundreds kilohertz. It adapts to scene contents, combining both spatial and temporal correlations...
Multi-frame super-resolution brings out much potential to reconstruct real high-resolution video sequences. This potential is achieved based on its capacity to combine missing information from different input low-resolution frames. Although there have been many studies in recent decades, super-resolution problems for real-world video processing still have many challenges. This is dues to two problems...
Visual odometry is typically formulated as a descriptor-based image feature tracking problem, followed by outlier rejection and simultaneous estimation of the scene structure and camera motion. We propose a fundamentally different formulation for the stereo case: a multi-scale search over pose to estimate the transformation that best aligns two sparse point clouds in image space. This has three main...
Due to availability of reliable and low cost devices, range maps (depth maps) are extensively used in many applications. Recent advances in human-computer interaction enabled us to interact with computers in intuitive and friendly way. In this paper, we propose a novel approach for recognizing static hand gestures using depth information captured from Photon Mixing Device (PMD) cameras. We segment...
The camera motion during image capturing results in poor and spoiled images. The conventional available methods to remove the camera shake assumes uniform spatial blur on the image, which in most of the cases is not a true assumption. Most of the available methods model the blur image as a convolution of sharp image and a blurring kernel, these results in more number of unknown parameters than known...
Following recent works on HRI for UAVs, we present a gesture recognition system which operates on the video stream recorded from a passive monocular camera installed on a quadcopter. While many challenges must be addressed for building a real-time vision-based gestural interface, in this paper we specifically focus on the problem of user personalization. Different users tend to perform the same gesture...
The authors have developed a mechatronic tracking system controlled by a hard real-time embedded Linux based system. The control software is implemented on a standard PC/104-Plus embedded single board computer (CoreModule745 with Intel Atom processor). The paper is focused on various aspects of developing an embedded version of Linux software that are mostly not dependent on the application. The reader...
In this paper, a novel method for people detection and tracking is proposed, based on stereo vision. Each person is represented by a group of the feature points. In this method feature point extraction and 2D space construction of projected points on the ground plane is performed in order to provide top view. Occlusion, as a main challenge in tracking systems, can be addressed by top view scene. A...
Marker-less optical head-tracking constitutes a comfortable alternative with no exposure to radiation for realtime monitoring in radiation therapy. Supporting information such as tissue thickness has the potential to improve spatial tracking accuracy. Here we study how accurate tissue thickness can be estimated from the near-infrared (NIR) backscatter obtained from laser scans. In a case study, optical...
We present a scheme for recovering the orientation of a planar scene from a single translation ally-motion blurred image. By leveraging the homography relationship among image coordinates of 3D points lying on a plane, and by exploiting natural correspondences among the extremities of the blur kernels derived from the motion blurred observation, the proposed method can accurately infer the normal...
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