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We propose the use of a light-weight setup consisting of a collocated camera and light source – commonly found on mobile devices – to reconstruct surface normals and spatially-varying BRDFs of near-planar material samples. A collocated setup provides only a 1-D “univariate” sampling of a 3-D isotropic BRDF. We show that a univariate sampling is sufficient to estimate parameters of commonly used analytical...
The widespread application of camera-based surveillance systems has inspired extensive investigation on human localization. In this paper, we proposed a device-free localization method using panoramic camera and indoor map. The proposed method is able to provide precise location information of human object without any terminal device. After preprocessing the images observed with a panoramic camera,...
The availability of a map surrounding the robots' workspace is a significant requirement for the autonomous execution of the tasks, such as localization, navigation, and planning. RGB-D cameras can capture the RGB images along with per-pixel depth information from the environment. In this paper, we compare the influence of common visual features (SIFT, SURF, FAST, and GridFAST) with the latest ORB...
This paper proposes a scheme using open source autopilot controller and on-board computer (i.e. Raspberry Pi 2) to realize vision tracking flight mission based on computer vision. System structure design, image processing and controller are introduced respectively. The proposed image processing algorithm can reduce computational work and also the well designed controller can realize line tracking...
Traffic density estimation with vehicular ad hoc networks (VANETs) can facilitate many applications. Traditional density estimation is achieved by counting the number of vehicles occupied in a certain area with inductive loop detectors and cameras, which is applied over limited coverage and brings high cost. In this paper, we propose to fuse vehicle spacing information and and compute average spacing...
This paper presents a modular designed dynamic positioning (DP) experiment system. Three modules are designed for the DP experiment system, which are onboard computer module, position sensing module and onshore control computer module. The hardware system and software are introduced. A PC/104 computer is used as the main controller of the onboard computer system, and an ARM microcontroller is used...
Matching observations captured by pedestrian detectors across the cameras with non-overlapping views, known as person re-identification, is challenging due to the appearance changes caused by pose, viewpoint and illumination variations, occlusions and cluttered background. Different from various hand-crafted features, this paper extract the features through the fine-tuned deep convolutional neural...
The measurement rate of cameras that take spatially multiplexed measurements by using spatial light modulators (SLM) is often limited by the switching speed of the SLMs. This is especially true for single-pixel cameras where the photodetector operates at a rate that is many orders-of-magnitude greater than the SLM. We study the factors that determine the measurement rate for such spatial multiplexing...
In a HD traffic bayonet, HD camera captures a few images once the vehicles drive cross the underground sensing coils. Time interval between two adjacent images is usually uncertain. In this paper, a background modeling and foreground extraction scheme is proposed for these images captured in the bayonet. The proposed scheme contains three modules: initial background modeling, foreground extraction...
Two channels video signal of the same scenery can be obtained by two CCD synchronous video cameras whose integration times are different: one is longer than another. The CCD video camera with short integration time is used for obtaining bright image information while the one with long integration time is used for obtaining gray image information. The image processing method is to adopt DSP combining...
In this paper, we present a system for controlling a quadrocopter using both optical and inertial measurements. We show how to use external stereo camera measurements for visual servoing, by onboard fusion at high rates, only natural features provided by the vehicle and without any active marker. In our experiments, we show the accuracy and robustness of our system during indoor flights, as well as...
Three-dimensional reconstruction is of great importance whether from the point view of visual physiology or engineering application. With the environment in practical experiments, the basic process of research is confirmed as image acquisition, camera calibration, feature extraction, stereo matching, and three-dimensional information reconstruction. In this paper, the feature point matching algorithm...
In this paper, we present a vision-based traffic measurement system, allowing automatic traffic flow segmentation, camera calibration and traffic information estimation. The system quickly estimates mean vehicle speed directly from MPEG Motion Vectors. Although extensive work has been done in extracting and using motion information from MPEG video data in compressed domain, to our best knowledge,...
We can record swimmerspsila real-time training actions when underwater trolleys carrying cameras track swimmers. Swimmerspsila (moving object) location in images can be detected automatically from the acquired image sequences with image processing, video analysis and computer processing techniques. We can predict the targetpsilas location in next frame on previous locations then we can track and shoot...
Many applications exist for automatically finding and reading barcodes in complex scenes with a camera. The key problem is to search barcodes in a complex scene and supply them for a reading subsystem. However, illumination, rotation, perspective distortion and multiple barcodes circumstances make barcode localization difficult. By jointly analyzing texture and shape, we propose a realtime barcode...
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