The Infona portal uses cookies, i.e. strings of text saved by a browser on the user's device. The portal can access those files and use them to remember the user's data, such as their chosen settings (screen view, interface language, etc.), or their login data. By using the Infona portal the user accepts automatic saving and using this information for portal operation purposes. More information on the subject can be found in the Privacy Policy and Terms of Service. By closing this window the user confirms that they have read the information on cookie usage, and they accept the privacy policy and the way cookies are used by the portal. You can change the cookie settings in your browser.
This paper describes a distributed multi-user video analytics platform supporting multiple video providers and multiple analytics. Scalability, portability, adaptability and resiliency are the objectives of a well-integrated video analytics platform. Being an integrated system of systems comprised of various resource nodes, the challenges in building such an infrastructure ranges from efficient system...
One of the greatest technological improvements in recent years is the rapid progress using machine learning for processing visual data. Among all factors that contribute to this development, datasets with labels play crucial roles. Several datasets are widely reused for investigating and analyzing different solutions in machine learning. Many systems, such as autonomous vehicles, rely on components...
In this paper a new pupil detection algorithm based on RANSAC procedure is presented. Unlike other similar algorithms reported in the literature, the proposed algorithm provides higher accuracy, low running time and operates properly in noise conditions and for variable illumination. This algorithm is used in the field of assistive technology in order to communicate with neuromotor disabled people...
In a smart city build-up, intelligent transportation system (ITS) is essential for efficient and adaptive control of the transportation system. In order to have a meaningful ITS, availability of statistics such as types of the objects (vehicles, human, etc.) in motion and their statistics and interaction with the environment, are important. Automatic classification of moving objects is an important...
Pedestrian detection is considered as an active area of research and the advent of autonomous vehicles for a smarter mobility has spearheaded the research in this field. In this paper, design of a real-time pedestrian detection system for autonomous vehicles is proposed and its performance is evaluated using images from standard datasets as well as realtime video input. The proposed system is designed...
The existing AR indoor registration technologies based on hardware often have the disadvantage of low registration accuracy. To solve the problem, a new indoor AR registration technology based on iBeacon is proposed in this paper. Firstly, the coordinates of the phone are calculated based on the data received by iBeacons. Secondly, the 3D directions of the phone are obtained based on the acceleration...
The unified program architecture of real time vision system (VS) with several fields of view construction is described. The offered architecture provides both onboard and stationary usage. In case of stationary usage, it provides determination of location and trajectory of objects movement in the ordered system of co-ordinates. Principles of open architecture, componential technology and use of standard...
We investigate the pose estimation of a semi-unknown object for stereo-vision-based navigation of a mobile manipulator. A new computationally fast vision algorithm is developed to extract the object's pose at a high rate from the captured scenes. Moreover, we present a method to deal with range dependent noise characteristics of the stereo vision to fulfill requirements for mobile manipulation tasks...
Behavior or human action recognition is one hot research topic in real-time video surveillance system. Dangerous accidents consist of dangerous actions by one or more persons. Thus, action recognition is very important for dangerous accident recognition. If videos captured by public cameras especially dangerous actions related videos can be processed and analyzed immediately to provide an early and...
We present the first gesture recognition system implemented end-to-end on event-based hardware, using a TrueNorth neurosynaptic processor to recognize hand gestures in real-time at low power from events streamed live by a Dynamic Vision Sensor (DVS). The biologically inspired DVS transmits data only when a pixel detects a change, unlike traditional frame-based cameras which sample every pixel at a...
New Internet of Things open source technologies, middlewares, and programming languages, make the quick integration of devices, systems and cloud services easier than never before. With their utilization, complex tasks such as object detection, tracking and tracing, can be easily realized, even by embedded devices in a fraction of time. The interplay of highly heterogeneous IoT devices and open source...
In order to obtain real-time accurate detection of smoke in the panoramic area, a visual-based smoke early warning system is designed. A 180-degree holographic and high speed camera is equipped as the video capture part of the system, and the video acquisition and target lock functions are implemented. The intelligent recognition function is separated into three steps. Firstly, the suspected smoke...
The development of depth cameras, e.g., the Kinect sensor, provides new opportunities for human computer interaction (HCI). Although the Kinect sensor has been extensively applied for human tracking, human action recognition and hand gesture recognition, real time hand gesture recognition is still a challenging problem. In this paper, we propose a new real time hand gesture recognition method. To...
Recent advances in technology and rapid growth of consumer electronics have made tremendous amount of multimedia information available to the general population. Browsing through large collections of consumer videos and manually creating summaries can be tedious. Automatic summarization techniques will give the user an easy way to look up important content of a collection of media and to browse media...
This paper proposes a technique for manipulating microparticles toward a desired position in a non-patterned fluidic environment, avoiding the possible obstacles that it may encounter along its path. Infrared laser pulses were used to generate thermocapillary convection flows, within the fluidic environment, which dragged the particles in a controlled manner. In order to avoid the obstacles in real...
Real-time human detection is important for a wide range of applications. In this paper, a two-staged method has been developed for real-time human detection in cluttered and dynamic environments with depth data. We start with generating a set of possible human head-tops to ensure all human locations are included. To this end, a novel physical radius-depth (PRD) detector is proposed to quickly detect...
This paper proposes a hybrid actuation for long-term cell manipulation in a microfluidic channel. While a conventional actuation can manipulate a cell, it usually cannot last for a very long time (i.e. less than 10 minutes) due to unavoidable pressure leak or drifts. The hybrid actuation is composed of two actuations where one is a gravity-based pressure system for macro-scale pressure balancing and...
Image stitching is an attractive method to merging multiple images. It can produce a wide-angle panoramic photograph while maintaining the quality of the source images. The process is simply performed by overlapping part of the images which contain common scene. Today, panoramic image stitching is widely used in applications such as 360-degree cameras and virtual reality photography. If the stitching...
Ground-based Wide-Angle Camera array (GWAC) is a short time-scale survey telescope that can take images covering a field of view of over 5, 000 square degrees every 15 seconds or even shorter. One scientific missions of GWAC is to accurately and quickly detect anomaly astronomical events. For that, a huge amount of data must be handled in real time. In this paper, we propose a new time series analysis...
We have developed lossless compressed ultrafast photography (LLE-CUP), a single-shot receive-only ultrafast imaging modality with an imaging speed of 100 billion frames per second. Using LLE-CUP, we have imaged, for the first time, a scattering-induced propagating photonic Mach cone in real time.
Set the date range to filter the displayed results. You can set a starting date, ending date or both. You can enter the dates manually or choose them from the calendar.