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Diminished reality (DR) is a technique to remove undesirable objects from a video stream in real time. DR methods calculate a user's camera pose using vision- or sensor-based approaches to recover and overlay a background image to the camera view. Relying on 6DoF camera registration methods, DR results are often ruined due to misregistration. To solve this problem, we propose a registration framework...
This paper proposes an algorithm to determine the distance between vehicles for a Intelligent Transport System (ITS) using image sensor based visible light communication. Compared to existing algorithms, the proposed algorithm uses two image sensors and thus requires only one LED for distance estimation. Simulations are conducted to verify the performance of the proposed algorithm.
This paper presents a new stereo configuration based on sensor rotation. Different from the traditional stereo vision system which consists of multiple cameras, our rotational stereo device is built with a single image sensor. By constraining the sensor's planar motion perpendicular to the optical axis with an offset to the axis of rotation, the visual parallax can be generated with multiple viewpoints...
This paper explores the novel use of multiple depth sensors to overcome occlusions and improve localization and tracking of body extremities. The usage of data from only depth sensors not only overcomes visual challenges associated with RGB sensors under low illumination, but also protects the identity of surveyed person with high confidentiality. For integrating depth information from multiple sources,...
Most practical visible light communication (VLC) systems being currently deployed with image sensor receivers use intensity modulation and direct detection scheme for outdoor and indoor applications. A number of modulation and coding techniques that are used for image sensor-based VLC systems are presented.
In this paper, we propose the architecture and schemes of optical camera communication (OCC) system for the internet of lights (IoL) comprising an attentive indoor environment in which rolling-shutter cameras (including smartphone cameras) are used to receive data from light sources. Evidently, the challenges of system mainly come from the receiver side because the primary purpose of cameras is to...
A cost-effective micro sun sensor is presented for extracting the sun vector from image sensors based on a phenomenon called the black sun. The black sun, appearing as the result of electron overspill at an oversaturated CMOS image pixel when capturing a bright spot such as the sun, allows extracting the sun centroid accurately and robustly even when the sun image appears irregular and noisy due to...
Heavy vehicle traffic and flooded areas are problems experienced on roads because of unimproved road infrastructures and environmental deviations. These factors affect vehicle drivers negatively as they contribute to stress, health problems, and wastefulness of time. This study developed a system called ArRoad that monitors and analyzes vehicle traffic and flooded areas using network of sensors and...
In recent years, fields such as industrial automation, virtual and augmented reality and autonomous robotics increased the demand for location-awareness of electronic devices. Image sensor based inside-out localization and tracking systems are sufficiently accurate to determine the position and orientation of electronic devices. Without additional sensors however, these systems are impaired in reaching...
Image based 3D digitization methods, as an input data, use a digital photographs for reconstruction of 3D objects. Today, digital cameras are common devices used for capturing of digital photographs. Every digital camera is equipped with one of two types of digital sensors — CCD or CMOS. One of important features of these both types of sensors is their physical size. This paper presents results of...
In this paper, a new multi-resolution CMOS imager sensor with trapezoid pixel array, called TZOID, is presented. It was designed for traffic monitoring to detect the speed and location vehicles approaching a signized intersection. It composes of significantly less number of pixels than a comparable image sensor used in similar application. The unique trapezoid image sensor design eliminates computationally...
This paper describes a novel readout integrated circuit (ROIC) for a nanoscale photoresistive image sensor array with a novel dual element readout and calibration method. The dual element readout increases detector signal sensitivity and sensor dynamic range. It works on the assumption that adjacent nanoscale detectors have similar illumination levels. A novel on-chip two-point calibration method...
Long-term place recognition for vehicles or robots in outdoor environment is still a tackling issue: numerous changes occur in appearance due to illumination variations or weather phenomena for instance, when using visual sensors. Few methods from the literature try to manage different visual sources while it could favor data interoperability across variable sensors. In this paper, we emphasis our...
The paper presents specific methods of processing of multimodal data recorded during physical activities by depth MS Kinect cameras, thermal imaging cameras and heart rate sensors. All video data and heart rate signals used in the present study were recorded in the home environment. The proposed methodology includes the detection of the chest breathing area for breathing motion analysis used by the...
We experimentally demonstrate an indoor visible light positioning system based on optical camera communications, in which the transmitted coordinate data are spatially separated and demodulated by a camera. The receiver's position is calculated based on the coordinates of light-emitting diodes in the real word and in the image.
In this paper we present some results summarizing our previous work during the last few years in the analysis of Synthetic Aperture Integral Imaging (SAII) performance for human gesture recognition, with a particular emphasis in its accuracy in the presence of occlusions, also when comparing it with sensors and strategies that are commonly used for these tasks, like the RGB-D sensors. Experiments...
In this paper we present a concept of a camera based on a line scanning sensor. The core of the camera is a proprietary broadband MEMS-based row imaging sensor and a powerful multiprocessor chip. We present here the architecture of the camera as well as selected subblocks of the system.
Light field (LF) capture and processing are important in an expanding range of computer vision applications, offering rich textural and depth information and simplification of conventionally complex tasks. Although LF cameras are commercially available, no existing device offers wide field-of-view (FOV) imaging. This is due in part to the limitations of fisheye lenses, for which a fundamentally constrained...
In this paper, we introduce a new sensor system to measure the vehicle body velocity using a CMOS camera and it's motion blur. When the camera faced on the ground and mounted on the vehicle body is shaken by a specific path to artificially form a motion blur, a Modulated Motion Blur is recorded on the image sensor. This Modulated Motion Blur implies the relative motion between the camera and the ground...
Video sensors based on CMOS technology represent the vast majority of the adopted solutions for image acquisition systems equipped in unmanned vehicles and Advanced Driver Assistance Systems. These sensors typically employ a rolling shutter readout scheme, which causes image distortion in case of motion. This paper investigates how rolling shutter effects influence the performance of Semi-Global Matching,...
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