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.
Recently, many approaches have been proposed for complete 3D reconstruction of moving objects. Particularly, one-shot reconstruction using a projector-camera system (pro-cam) has attracted considerable attention as it can reconstruct the full 3D shape from a single image and it is therefore suitable for capturing moving objects. However, one-shot measurement methods have the issue that the projection...
Underground construction projects require accurate techniques for machine guidance control. This paper presents an advanced design of a fully integrated active laser target (ALT), which is employed as an optical displacement and orientation sensor. The instrument is mounted on a tunnel boring machine (TBM) and delivers the TBM's pitch and yaw angles to a remote host system. The optical arrangement...
This paper utilizes system observability to guide monocular SLAM. Instead of providing all measured features then performing data-driven outlier rejection (such as with RANSAC), we propose to identify only the minimal subset of features which form an optimally observable SLAM subsystem for localization. Modeling the SLAM system as a discrete time system with piece-wise linear SE〈3〉 motion, complete...
This paper proposes a novel geometric verification method to handle 3D viewpoint changes under cluttered scenes for robust object recognition. Since previous voting-based verification approaches, which enable recognition in cluttered scenes, are based on 2D affine transformation, verification accuracy is significantly degraded when viewpoint changes occur for 3D objects that abound in real-world scenes...
In this paper, we propose a method to extend the field of view (FoV) of cameras mounted on Micro Aerial Vehicles (MAVs). The idea is to stitch together appropriate sections of the panorama to the camera frame. The proposed system efficiently performs view extension by fusing fast tracking and feature descriptor matching into the stitching algorithm. The quality of the extended view is further improved...
Pedestrian detection is paramount for advanced driver assistance systems (ADAS) and autonomous driving. As a key technology in computer vision, it also finds many other applications, such as security and surveillance etc. Generally, pedestrian detection is conducted for images in visible spectrum, which are not suitable for night time detection. Infrared (IR) or thermal imaging is often adopted for...
As vertigo is common disease, it causes by problem with Nystagmus. It is difficult to diagnosis by observation. In this paper, we propose a method to detect nystagmus for vertigo diagnosis system using eye movement velocity. This method consists of three main steps: pupil extraction, velocity of eye movement computation, and nystagmus detection. An infrared camera is used to record eye movement in...
Gait analysis has become recently a popular research field and been widely applied to clinical diagnosis of neurodegenerative diseases. Various low-cost sensor-based and vision-based systems are developed for capturing the hip and knee joint angles. However, the performances of these systems have not been validated and compared between each other. The purpose of this study is to set up an experiment...
We report a portable 6-DOF (six degrees of freedom) motion tracking system which uses high-accuracy AR markers. It enables easy measurement of 6-DOF motion of multiple tracking points by a single camera. We examined the measurement accuracy of the motion tracker by comparing with an ordinary motion-capture system. The pose estimation errors are about 5 [mm] in location (depth) and about 2 [deg] in...
This paper presents a fast algorithm to segment moving objects in video sequences, as the first step of a fast object tracking system. It is based on the detection of level lines to detect closed objects contours in a scene. The detected objects are clustered using a combination of mean shift and ensemble clustering. The proposed method produces a temporal video segmentation in a fraction of the processing...
In recent years, ICT devices such as personal computer and video camera, tablet devices have been introduced actively in the field of ball sports. As one example, before the game is also carried out analysis of the opposing team using recorded video. In this paper, we consider the method to extract the desired scenes from the game video automatically for coaching support in the rugby sports. HOG and...
Customer often feels difficult to describe what he needs when he intends to buy a high-tech product with complex features, such as smartphone, notebook, camera, PC, car, server, etc. It is because the most of users are less familiar with the technical features of this product types. However, most recommender systems had been developed still directly refer to product features when extracting user's...
In the conventional SLAM problem, a laser range scanner that can obtain relative angle and distance between a robot and a landmark is used as an external sensor. However, such a sensor is expensive, so that a bearing-only SLAM is studied recently by using a cheap CCD camera. For such a bearing-only SLAM problem, there is a problem that an objective environment has to be measured at multiple distinct...
This paper presents a novel method that can estimate the distance of a person up to 6 meters away. The proposed approach is based on face images extracted from a video of a monocular camera through the use of the Viola-Jones approach of OpenCV to detect the faces. The results of the experiments show the practicality of this approach in calculating the distances of the subjects in the camera's view.
In this paper, the simulation and manipulation of 6 DOF robot manipulator is presented using the kinematic model and an AR (Augmented reality) environment. In this context, the system is based on a multimodal user interface to overlay virtual objects onto the real world scene. The objective of this work is by providing the right information needed to perform a certain task. The determination of the...
The algorithms of autonomous underwater vehicle /AUV/ motion detection and near the bottom stabilization based on stereoscopic images processing are considered in the paper. The approach is based on detection of the same objects on the consecutive frames and their joint displacement calculation. Some results of the real underwater image processing and considered algorithms operation onboard of small...
Video based vehicle classification is gaining huge grounds due to its low cost and satisfactory accuracy. This paper presents a robust vehicle classification system. The system in its essence, aims to classify a vehicle based on the number of circles (axles) in an image using Hough Transform which is a popular parameter based feature detection method. The system consists of four modules whereby the...
This work presents an automatic calibration method for a vision based external underwater ground-truth positioning system. These systems are a relevant tool in benchmarking and assessing the quality of research in underwater robotics applications. A stereo vision system can in suitable environments such as test tanks or in clear water conditions provide accurate position with low cost and flexible...
Real-time dense computer vision and SLAM offer great potential for a new level of scene modelling, tracking and real environmental interaction for many types of robot, but their high computational requirements mean that use on mass market embedded platforms is challenging. Meanwhile, trends in low-cost, low-power processing are towards massive parallelism and heterogeneity, making it difficult for...
Automatic reconstruction of 3D models from images using multi-view Structure-from-Motion methods has been one of the most fruitful outcomes of computer vision. These advances combined with the growing popularity of Micro Aerial Vehicles as an autonomous imaging platform, have made 3D vision tools ubiquitous for large number of Architecture, Engineering and Construction applications among audiences,...
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.