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A visual gyroscope is a device which estimates camera 3D rotation using image input, in our case a monocular video. Contrary to traditional Structure-From-Motion (SFM) or visual SLAM, we address the case where only the rotation must be found, whereas no translation estimate is desired. That case can be solved without computing an explicit 3D map of the environment, thus avoiding computationally expensive...
The linear 1D barcode is the main tagging system for billions of products sold each day. Barcodes have many advantages but require a laser scanner for fast and robust scanning. Solutions exist to read barcodes from cell phones but they assume a carefully framed image within the field of view. This undermines the true potential of barcodes in a wide range of scenarios. In this paper we present a real...
This paper proposes a sequential online 3D reconstruction system using dense stereo matching for a non-expert user, which can sequentially reconstruct accurate and dense 3D point clouds when the new image is captured. The proposed system is based on a novel processing pipeline of sequential online 3D reconstruction with two key techniques: (i) camera parameter estimation of Structure from Motion (SfM)...
In this paper, we propose a new algorithm which can be used to measure the distances to objects on a stereo camera platform. Our algorithm exploits the key information obtained from a frequency domain analysis of captured images. Experimental results show that our approach provides more accurate distance measurements in real-time when compared with a conventional algorithm.
This paper introduces a high efficient local spatiotemporal descriptor, called gradient boundary histograms (GBH). The proposed GBH descriptor is built on simple spatio-temporal gradients, which are fast to compute. We demonstrate that it can better represent local structure and motion than other gradient-based descriptors, and significantly outperforms them on large realistic datasets. A comprehensive...
We identify a novel instance of the background subtraction problem that focuses on extracting near-field foreground objects captured using handheld cameras. Given two user-generated videos of a scene, one with and the other without the foreground object (s), our goal is to efficiently generate an output video with only the foreground object (s) present in it. We cast this challenge as a spatio-temporal...
Today's mobile devices are likely to store various kinds of personal information, making it important to authenticate mobile device users. Since various types of mobile devices now have cameras, there has been growing interest in authentication based on images of the areas surrounding the eye due to the case of combing with iris and periocular from an image. We propose a method for authenticating...
This paper reports that uncertainty of detected edges on a fish-eye image depends on the direction to observe the edges. In fish-eye cameras, dimensions of observation space corresponding to a pixel greatly change with the pixel location. This dimension is defined as “spatial uncertainty” in this paper and formulated with typical projection models of fish-eye cameras. Experimental results showed that...
In this paper, a vestibular rehabilitation system is proposed, which provides for realistic experiences based on multiple sensory media. Postures of vestibular rehabilitation exercises are taken by multiple cameras for multiple A/V media and their reference motion data are generated for similarity analysis. Watching the multiple media contents on multiple display devices and taking postures according...
Detection of moving objects is one of the key steps for vision based applications. Many previous works leverage background subtraction using background models and assume that image sequences are captured from a stationary camera. These methods are not directly applied to image sequences from a moving camera because both foreground and background objects move with respect to the camera. One of the...
The paper presents a unified framework that aims at stabilization of real time images captured from a photosensitive sensor mounted on any mobile platform. Typically the real time images obtained from a mobile platform are prone to suffer from unwanted stray noise, presence of jitter, camera distortions which lead to suppression of finer details and thus make extraction of required information about...
Non-Perspective Three Point Pose (NP3P) problem is a generalization of the classical three point pose problem for the case of multi-camera that have no common projection center. In this paper, we develop a simple, minimal algebraic solution to the NP3P problem where the projection rays of three points may have arbitrary but known directions. This problem is known to have a maximum of eight solutions...
This paper describes the development of a system that uses off the shelf ranging technology (distance cameras) to acquire a real-time multidimensional respiratory signal from a 3D surface reconstruction of the patient's chest and abdomen without the use of markers. The preliminary measurements are discussed within the context of the use of such a system with an existing CT scanner.
With the rapid development of highway, the distribution of surveillance cameras has become increasingly intensive, which brings important significance to traffic safety by detecting visibility of fog using surveillance video. In this paper, a fog level detection method based on grayscale features is proposed. Sometimes there is no proper calibration template in highway. In order to meet the requirement...
This paper describes a novel approach to the problem of autonomous Robot Navigation in environments having less or no source of illumination. We have aimed at depth estimation and object recognition aspects, using the bio-inspired Dynamic Vision Sensor (DVS) asynchronous time-based image sensor (ATIS) silicon retina. Experiments were conducted in a dark environment using the ATIS camera, coupled with...
Security and its related ecosystem have always been given priority in the form of procedures, policies, technology and research. Technology as an assisting component in case of security plays a major role in identifying lapses, loopholes and thus prevent situations to turn into catastrophes. Video surveillance these days has gained significant importance for keeping any place secure. Video cameras...
The Pan-Tilt Unit (PTTJ) and camera composed a vision system, which can be used in vision measurement. In this paper, a new calibration method for this vision system using differential GPS (global positioning system) is described. The calibration method is an efficient solution for large field of view. The proposed method has advantages in speed, convenience and pertinence. The experimental results...
In tactical analysis of fast-paced net-based sports such as badminton, the identification of habits and movement of an opponent provides an advantage in terms of reaction time, which results in a player obtaining control of the game. A tactical analyst in badminton segments the court using imaginary lines, and intuitively notâtes the position of a player according to those segments throughout the...
Robot localization is one of the hottest research spots. Many scholars have studied the landmark localization which is cheap, stable, and simple in the indoor environment. This paper presents a low-cost localization system based on the artificial landmarks with two degree of freedom platform camera. The landmarks are put on the ceiling in order to decrease the interference. A 2-DOF pan-tilt has been...
This paper proposes a video anomaly detection method based on wake motion descriptors. The method analyses the motion characteristics of the video data, on a video volumeby- video volume basis, by computing the wake left behind by moving objects in the scene. It then probabilistically identifies those never previously seen motion patterns in order to detect anomalies. The method also considers the...
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