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In this paper, we introduce a real-time pressure measurement system. A soft material with gauge points is placed ahead of a micro camera, and the material's deformation reflects the pressure applied on it. The image processing circuit mainly consists of an image pre-processing module, a connected area labeled module and a centroid coordinate calculation module. Experiments are implemented to demonstrate...
The high-speed camera is an imaging device that records a particular transient state or all of the high-speed processes. It can accurately record the transient process of the high-speed target in real time and thus allow us to achieve the purpose of analysis of high-speed process through the slow motion playback. So the high-speed camera becomes an important tool for the study of the transient phenomena...
In this paper, a robust visual tracking system with occlusion handling is proposed to track the target with real-time performance. The thermal camera, which can observe the heat originated from the target such as the human body or vehicle, can collaborate with the color camera to track the target in the cluttered environment or under occlusion. Unlike the general tracking by using the color camera...
Live-feeling communication is a seamless process of intelligent system estimating user intention solely on passive user-to-robot communication of user emotions and body movements. In this paper we study the live-feeling communication in an entertainment framework; a real-time streaming event (football) is split into set of important and relevant scenes, and for each scene the user intention is estimated...
We present an approach for real-time, robust and accurate hand pose estimation from moving egocentric RGB-D cameras in cluttered real environments. Existing methods typically fail for hand-object interactions in cluttered scenes imaged from egocentric viewpoints—common for virtual or augmented reality applications. Our approach uses two subsequently applied Convolutional Neural Networks (CNNs) to...
In this paper, we propose the first higher frame rate video dataset (called Need for Speed - NfS) and benchmark for visual object tracking. The dataset consists of 100 videos (380K frames) captured with now commonly available higher frame rate (240 FPS) cameras from real world scenarios. All frames are annotated with axis aligned bounding boxes and all sequences are manually labelled with nine visual...
We propose Stereo Direct Sparse Odometry (Stereo DSO) as a novel method for highly accurate real-time visual odometry estimation of large-scale environments from stereo cameras. It jointly optimizes for all the model parameters within the active window, including the intrinsic/extrinsic camera parameters of all keyframes and the depth values of all selected pixels. In particular, we propose a novel...
A novel approach for robot tracking and identification based on barcodes is proposed in this paper. The proposed system tracks robots fitted with barcodes identifying them. The system performs distributed visual processing and collaborative barcode tracking, whereby the nodes exchange processed visual information with appropriate neighboring nodes, informing them about incoming targets. The proposed...
We present our design of a real-time vision-based landing pad detection and pose estimation for many Unmanned Aerial Vehicles(UAV) and implementation on Raspberry Pi. We describe the vision algorithm for precise landing pad detection and recognition and estimate the position and orientation of the UAV relative to the landing pad. The vision algorithm is robust, accurate, and computationally inexpensive...
We present a novel approach to 6DOF pose estimation and segmentation of rigid 3D objects using a single monocular RGB camera based on temporally consistent, local color histograms. We show that this approach outperforms previous methods in cases of cluttered backgrounds, heterogenous objects, and occlusions. The proposed histograms can be used as statistical object descriptors within a template matching...
In practical CCTV applications, there are problems of the camera with low resolution, camera fields of view, and lighting environments. These could degrade the image quality and it is difficult to extract useful information for further processing. Super-resolution techniques have been proposed widely by the researchers. However, many approaches are complex and are difficult to use in practical scenarios...
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...
The paper is devoted to the problem of automatic geometry evaluation of the log moving through the conveyor. The video sequence obtained from the single camera is used as the input data. The principal restrictions of the target objects described for the given task, and the requirements to the video recording of the manufacturing process are formulated on the basis of datasets from more than .5M video...
The purpose of the article is to outline the futuristic vision of Industry 4.0 in intra-logistics by creating a hybrid network for research and technologies thereby providing a detailed account on the research centre, available technologies and their possibilities for collaboration. Scientific challenges in the field of Industry 4.0 and intra-logistics are identified due to the new form of interaction...
In this paper we present a scalable multi-view video streaming system with client-side view interpolation. Most parts of the system have been shown to be able to perform in real-time, but never as a complete system. Even though our algorithms are not yet highly optimized, we show that running a complete multi-view streaming system video on consumer hardware is possible today. Since multi-view coding...
Autonomous driving is the next breakthrough in automotive industry. Although the current achievements are very promising we still envision applications in which a certain level of assistance from the remote operator would be required. The goal of the project is to realize a semi-autonomous driving platform prototype with low-latency control/command channel to the operator over the 5G wireless network...
The widely accepted block-matching technique, which is required to identify motion vectors, fails in cases in which texture is not existent. In [1], we proposed a hardware-oriented cellular-automaton algorithm that generates spatial patterns on textureless objects and backgrounds, aiming at motion-vector estimation of textureless moving objects. This demonstration presents a field-programmable gate...
We address the problem of on-line volumetric map creation of unknown environments and planning of safe trajectories. The sensor used for this purpose is a stereo camera. Our system is designed to work in GPS denied areas. We design a keyframe based hybrid SLAM algorithm which combines feature-based stereo SLAM and direct stereo SLAM. We use it to grow the map while keeping track of the camera pose...
In this study, a real-time system design, which can track (RGB) targets in dynamic environments with an active camera, was implemented. Object tracking applications are quite important for military, surveillance system and operational robot applications and getting more important day by day. This design allows us tracking an object using fewer cameras. The design consists of three main parts that...
Gesture represents a non-verbal means of communication between people. It comes from poses or movements performed by the human body. Nowadays, hand gestures are the new modality for human and computer interaction. In real-time applications based on hand gestures, the main challenge is to detect the hand(s). In this paper, we present and analyze existing approaches for real-time hand detection. Then,...
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