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Heating, ventilation and cooling (HVAC) consumes nearly 50% of electrical energy spent in homes and offices worldwide. To adapt an HVAC system to the dynamic environment and save energy without compromising the comfort level of the occupants, different techniques have been explored to sense the real-time occupancy in rooms, zones and buildings. Among all these approaches, wireless camera-based sensing...
Analyzed the principle of single camera stereo vision sensor based on the two plane mirrors. Established the measurement model of three-dimensional points, calibrated the internal and external parameters, and the corresponding experiment has been done. Compared the results got by the method in this paper with the one got by the traditional two cameras stereo vision sensor, the experimental results...
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...
Plenoptic cameras enable a variety of novel post-processing applications, including refocusing and single-shot 3D imaging. To achieve high accuracy, such applications typically require knowledge of intrinsic camera parameters. One such parameter is the location of the main lens' optical center relative to the sensor, which is required for modeling radially symmetric optical effects. We show that estimating...
An important issue faced while employing Pyroelectric InfraRed (PIR) sensors in an outdoor Wireless Sensor Network (WSN) deployment for intrusion detection, is that the output of the PIR sensor can, as shown in a recent paper, degenerate into a weak and unpredictable signal when the background temperature is close to that of the intruder. The current paper explores the use of an optical camera as...
We present a method to assist pre-touch on multi-touch surfaces using features extracted from the fingertips of the user's hands. Pixel area a feature obtained from the contour of a fingertip is computed and tracked using commodity cameras to obtain the velocity of approaching fingers. We target sound volume control for digital multi-touch instruments an area where pre-touch is demonstrated with our...
Optical Camouflage is the process of concealing objects in visual spectrum range. This paper proposes a system which, can conceal any 2D object that is in front of an observer using RGB-D sensor and LCD display. This sensor is Kinect v2 sensor which, is used for depth sensing of background scene behind the object, and for 3D tracking of an observer's eyes. The LCD display covers the object which is...
The article describes some questions of functioning of digital cameras with purpose to increase optical resolution of the photos. The presented work includes detailed analysis and comparison of options, possible for nowadays, of improvements of optical resolution. The first offered option — use of the software. In the second option use of other different filters instead of Bayer filter is considered...
In this paper, we develop a modified differential Structure from Motion (SfM) algorithm that can estimate relative pose from two consecutive frames despite of Rolling Shutter (RS) artifacts. In particular, we show that under constant velocity assumption, the errors induced by the rolling shutter effect can be easily rectified by a linear scaling operation on each optical flow. We further propose a...
Due to rapid growth of digital contents, there has been an increasing demand of summarized videos to save time and other network resources. Automated soccer video analysis is a challenging due to involvement of more actors and rapid movements of players and camera. It is necessary first to detect various events of the video precisely before analyzing and labeling them. This paper proposes frame based...
An optical camera was recently employed by a subset of the authors as a sensing modality complementary to that of a Pyroelectric InfraRed (PIR) sensor, for carrying out intrusion detection and classification in an outdoor environment. The aim there was to develop a classification algorithm that mimicked the performance of the PIR sensor and which was complementary to the PIR in the sense that it could...
Many recent works have successfully leveraged motion information (i.e., dense optical flow) for a variety of problems. In this paper, we introduce a methodology to capture motion information using high-speed event-based cameras combined with convolutional neural networks (CNN). Our motion event features (MEFs) succinctly capture motion magnitude and direction in a form suitable for input into a CNN...
Human tracking plays an important role in providing activity assistance and care for users in smart homes. This paper presents a method for detecting and tracking of a user in a smart home using multiple sensors. We consider one PTZ camera and multiple Kinects in order to offer continuity over the users movement. Thus, the user can be keep inside the frame for most of the time. In this way, we minimize...
We evaluate a method for localization of thermal source by using optical probing. A two-dimensional imaging of infrared radiation is commonly used as localization of thermal source. At the flow of failure analysis, thermal lock-in (LIT) method by InSb camera is used to detect a leakage and short point in a package and power device sample. However, an accuracy of localization is not enough due to the...
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...
Event-based cameras provide a new visual sensing model by detecting changes in image intensity asynchronously across all pixels on the camera. By providing these events at extremely high rates (up to 1MHz), they allow for sensing in both high speed and high dynamic range situations where traditional cameras may fail. In this paper, we present the first algorithm to fuse a purely event-based tracking...
Human action recognition is a hot issue in the field of machine vision. It plays a pivotal role in human-centered computing. There are challenges mainly from the complexity of human actions and and high-noise data. Here we need to solve problems such as high intra-class variance with low inter-class variance, variable movement speed, and high computational costs. Based on the above points, we use...
Multi-Level Optical Signal reception based on blur curved approximation is proposed. We experimentally demonstrated the signal detection from received multi-level optical signal by using source tracking and blur curved approximation.
This research aims to design a new matching approach between terrestrial LiDAR (Light detection and Ranging) data and Synthetic Aperture Ladar (SAL) images. SAL is the extension of SAR (Synthetic Aperture Radar) to much shorter wavelengths, thus providing higher resolution. SAL acquires 2D images that are continuous representations of an environment during day and night times. LiDAR is commonly used...
Gesture sensors for mobile devices, which have a capability of distinguishing hand poses, require efficient and accurate classifiers in order to recognize gestures based on the sequences of primitives. Two methods of poses recognition for the optical linear sensor were proposed and validated. The Gaussian distribution fitting and Artificial Neural Network based methods represent two kinds of classification...
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