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The accuracy of the image is dependent on the quality parameters of camera. The camera parameters is obtained from the target calibration of the test bench in past. Recently, the image processing software can be dealt with the target-free calibration by internal programming. In this research, the images of unmanned aerial vehicle (UAV) are examined by two types of processes, target calibration and...
The dead-reckoning techniques such as visual and wheel odometry for Rover localization is proved to be effective on short to medium-range traverses. However the accumulated error would lead to a degraded performance in a long range travel. In this paper, a global localization algorithm is proposed to deal with the long-range rover localization in lunar/planetary environment. This algorithm is designed...
Multi-camera sensor is used widely in military, industry and disaster rescue and its performance is up to single fisheye camera. Aim to the serious distortion of fisheye camera image, an improved target tracking algorithm is proposed. First, searching window based on sphere coordinates model is set up. Then, color histograms are modulated correspondingly. Finally, particle filter target tracking algorithm...
A major cause of deaths among the elderly relates to accidental falls. Such falls are of particular medical concern to this population because they often result in severe injuries, since senior citizens usually live alone and cannot ask for help when accidents happen. In this paper, we propose a fall detection system with the help of a Gaussian mixture background model to build the background before...
This paper presents a subject centric group feature for person re-identification. Our approach is inspired by the observation that people often tend to walk alongside others or in a group. We argue that co-travelers' information, including geometry and visual cues, can reduce the re-identification ambiguity and lead to better accuracy, compared to approaches that rely only on visual cues. We introduce...
The recent deployment of very large-scale camera networks consisting of fixed/moving surveillance cameras and vehicle video recorders, has led to a novel field in object tracking problem. The major goal is to detect and track each vehicle within a large area, which can be applied to video forensics. For example, a suspected vehicle can be automatically identified for mining digital criminal evidences...
Although Time-of-Flight (TOF) camera can provide real-time depth information from a real scene, the resolution of depth map captured by TOF camera is rather limited compared to HD color cameras, and thus it cannot be directly used in 3D reconstruction. In order to handle this problem, this paper proposes a novel compressive sensing (CS) based depth map super-resolution method, which transforms a low...
In this paper, we will investigate a more challenging vehicle matching problem. The problem is formulated as invariant image feature matching among opposite viewpoints of cameras, i.e. complementary object matching. For example, a front vehicle object may be given as a query to retrieve a rear vehicle object of the same vehicle. To solve the complementary object matching, invariant image feature is...
This paper proposed a vision system that enables the wheel-robot could self-localization and navigation, and a strategy simulator software for robot soccer competition. The vision system is based on an omnidirectional camera to develop real-time image capture, doors and ball recognition software. It is a framework for visual self-localization of a mobile robot using a parametric model obtained from...
This article started with the basic principle of stereoscopic technology, developed a demonstration platform for the stereoscopic system. The focal plane and disparity were detailedly analysed ,which had a great impact on the stereoscopic effect in this system.The article proposed a calculation method matching with the displaying equipment, and finally invented a stereoscopic player, which could achieve...
With the advances of image processing and computer vision, techniques being developed are no longer limited in images acquired with single camera (namely plane vision). A stereo vision system with two cameras has become the research of interest in many areas because its ability to yield the depth information similar to human vision. In this study, the objective was to develop a system that can automatically...
In this paper, we propose a self-localization and path-planning method for mobile robot navigation. An omnidirectional camera and infrared sensors are used to extract the landmarks information of the environment. Due to the large field of view of the omnidirectional camera, the mobile robot can capture the rich information of the environment. The landmark features are detected and extracted from the...
In clinical diagnosis and treatment, the images which we wanted are taken in obscuration or the object which is caught is moving during imaging, which will cause the SNR of the images to be very low, and make the image registration difficulty. To improve the quality of image quality, the joint transform correlator is used to measure the image motion between the serial images, then the images are aligned...
In this paper, we will present a novel method to recognize multi-pose face image. In the algorithm we firstly estimate pose of camera by using an estimation algorithm which just used a 2D face image. Then the estimated data can be applied to view position of 3D face model in virtual environment to synthesize 2D verification exemplar DB. Thus face pose in these synthesized 2D verification images can...
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