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The real-time features

ASP.NET SignalR Incredibly simple real-time features for your web apps

ASP.NET SignalR Incredibly simple real-time features for your web apps

... 48 ASP.NET SignalR - Incredibly simple real-time features for your web apps Figure 1. Conceptual implementation of services using hubs Obviously, there is nothing magical about this. To make it ...
A Comparison of the Concurrency and Real-Time Features of Ada 95 and Java

A Comparison of the Concurrency and Real-Time Features of Ada 95 and Java

... hard real-time ...indicate features that are not being used, and the implementation is expected to exploit this information through more efficient compiled code and simpler run-time ...

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REAL-TIME & HISTORICAL FEATURES OF THE BLUEARGUS SOFTWARE SUITE

REAL-TIME & HISTORICAL FEATURES OF THE BLUEARGUS SOFTWARE SUITE

... System Real-Time & Historical Features of the BlueARGUS Software Suite The ability to see accurately what is occurring on your road net- work in real-time is an essential ITS ...

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Real-Time Face Detection System With Additional Features

Real-Time Face Detection System With Additional Features

... Humans use vision as their primary means for gathering information about, and navigating through, their surroundings. Providing this ability to automated systems would be a large step toward having them operate ...

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Eligible Features Segregation for Real-time Visual Odometry

Eligible Features Segregation for Real-time Visual Odometry

... Since the SIFT performance is in general highly rated, it was rapidly becoming a gold standard in feature detection. Over the past decade, many SIFT-like algorithms were proposed. Another well-known feature extraction ...

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Real-time Hand Tracking using Flocks of Features

Real-time Hand Tracking using Flocks of Features

... initialization time, the KLT features are placed preferably onto locations with high skin color ...relocated features because most of the features will con- tinue to follow gray-level ...

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Robust Textural Features for Real Time Face Recognition

Robust Textural Features for Real Time Face Recognition

... textural features of a face image in different lighting ...precise features of the input face images, we modify the ELBP algorithm by replacing the counting procedure with converting the thresholded image ...

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Real-Time Object Segmentation Using a Bag of Features Approach

Real-Time Object Segmentation Using a Bag of Features Approach

... Recently, some works have highlighted the advantages of densely sampled rotation vari- ant descriptors with respect to keypoint-based approaches [12]. For example, more in- formation can be extracted from image, or they ...

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Features Composition for Proficient and Real Time Retrieval in Cbir System

Features Composition for Proficient and Real Time Retrieval in Cbir System

... the features suitable for retrieval of the images similar to a query image varies with the class of images with which the database is modeled or ...other features particularly spatial information can be ...

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Holistic features for real-time crowd behaviour anomaly detection

Holistic features for real-time crowd behaviour anomaly detection

... Crowd density can be defined as the level of congestion ob- served across a scene at a given instant. Our unique approach to calculating this features divides the scene into a fixed size grid (10 × 10) and counts ...

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DS Real Time Clock FEATURES PIN ASSIGNMENT PIN DESCRIPTION

DS Real Time Clock FEATURES PIN ASSIGNMENT PIN DESCRIPTION

... where the program should clear such earlier initiated interrupts before first enabling new interrupts. When an interrupt event occurs, the relating flag bit is set to logic 1 in Register C. These flag bits are set inde- ...

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Statistical Features-Based Real-Time Detection of Drifted Twitter Spam

Statistical Features-Based Real-Time Detection of Drifted Twitter Spam

... higher than the second best algorithm. Similarly in Fig. 10, Lfun outperforms all the other algorithms. VI. D ISCUSSIONS In research community, there are also some machine learn- ing approaches related to our proposed ...

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Real-time hebbian learning from autoencoder features for control tasks

Real-time hebbian learning from autoencoder features for control tasks

... in real time, Hebbian ANNs can adapt over their ...new features over its lifetime from which to learn ...meaningful features from their in- ...resulting Real- time ...

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STEVAL-IEG001V2. Smart real-time vehicle tracking system. Features

STEVAL-IEG001V2. Smart real-time vehicle tracking system. Features

... The vehicle unit is built around Cortex-M3 STM32 microcontroller, Telit GPS (SL869) module and SAGEM GSM/GPRS module. The vehicle unit gathers GPS information such as location coordinates, time, date, speed, ...

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Real time computation of Haar like features at generic angles for detection algorithms

Real time computation of Haar like features at generic angles for detection algorithms

... the features can fit the position and the sizes ...the features’ definition or implementation itself, it is an important source of errors during the detection phase or ...

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Features and Classification Schemes for View-Invariant and Real-Time Human Action Recognition

Features and Classification Schemes for View-Invariant and Real-Time Human Action Recognition

... For each action, we evaluate the percentage of necessary frames to recognize the ongoing action. For instance, Figure 5a illustrates the likelihoods obtained as outputs for each HMM during the execution of the action ...

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Implementing textural features on GPUs for improved real time pavement distress detection

Implementing textural features on GPUs for improved real time pavement distress detection

... 7 Case study To validate the pavement assessment approach, a passenger vehicle equipped with a camera and a GPS receiver was used to collect pavement images. Several road segments in Bochum and Witten, Germany were ...

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Real Time Simple Face Tracking Algorithm based on Minimum Facial Features

Real Time Simple Face Tracking Algorithm based on Minimum Facial Features

... Several algorithms have already been proposed and developed for various applications and employed successfully. But, those algorithms are quite complicated and hard to meet the real- time requirements of ...

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Real Time Detection and Analysis of Facial Features to Measure Student Engagement with Learning Objects

Real Time Detection and Analysis of Facial Features to Measure Student Engagement with Learning Objects

... in real time the on-screen activity and simultaneously estimates the emotional state and head pose of the ...of time spent viewing the screen and statistics on emotional state (neutral, happy, sad) ...

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Person Re-Identification based on Facial Features in Real Time Video Streaming Environments

Person Re-Identification based on Facial Features in Real Time Video Streaming Environments

... In the video scenes, human faces can have unlimited orientations and positions, so its detection is of a variety of challenges to researchers. In recent years, multi-camera networks have become increasingly common for ...

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