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Screen content coding (SCC) extension to High Efficiency Video Coding (HEVC) offers substantial compression efficiency over the existing HEVC standard for computer generated content. However, this gain in compression efficiency is achieved at the expense of further computational complexity with several resource hungry coding tools. Hence, extension of SCC to HEVC hardware encoders can be challenging...
State-of-the-art solutions to optical flow fail to jointly offer high density flow estimation, low power consumption and real time operation, rendering them unsuitable for embedded applications. Joint hardware-software scalability at run-time is crucial to achieve these conflicting requirements in one device. This paper therefore presents a scalable Lucas-Kanade optical flow algorithm, together with...
We develop and describe some algorithms dedicated to people characteristic movement type detection using ultra wide band radar. Derived methods are implemented in real time system where breath detection and its basic parameters e.g. frequency and depth are estimated. We present also some crucial details of software implementation where we deal with radar signal acquisition and processing in real time...
The Digital Subscriber Line (DSL) systems performance tightly depends on noise interference. The users (lines) in the binder create mutual interference (crosstalk), therefore decreasing the rates of all users. Crosstalk noise is more predominant in DSL and its major performance bottleneck is to limit high-speed data rate. This study proposes a new real-time monitoring methodology for noise estimation...
3D imaging capable devices have been available on the market for a few years now and the availability of 3D contents is also picking up. However, 3D contents available for viewing is not growing fast enough to meet the demand. To compensate for such a problem, most 3D imaging devices are equipped with 2D to 3D conversion function. Also, common 3D contents available are mostly produced with 2 view...
Driver assistance system enhances traffic safety and efficiency. Accurate 3D pose of front vehicle can help driver to make right decisions on road. We propose a novel real-time system to estimate 3D pose of the front vehicle. This system consists of two parallel threads: vehicle rear tracking and mapping. Vehicle rear is firstly identified in the video captured by an on-board camera, after license...
This paper presents a novel view-level target bit rate distribution estimation technique for real-time Multi-view video plus depth using a statistical model that is based on the prediction mode distribution. Experiments using various standard test sequences show the efficacy of the technique, as the model manages to estimate online the view-level target bit rate distribution with an absolute mean...
Estimation of a object pose from camera is a well-developing topic in computer vision. In theory, the pose from a calibrated camera can be uniquely determined. But in practice, most of the real-time pose estimation algorithms suffer from pose ambiguity due to low accuracy of the target object. We think that pose ambiguity¡Xtwo distinct local minima of the according error function¡Xexist because of...
Recently, we proposed an approach inspired by Sparse Component Analysis for real-time localization of multiple sound sources using a circular microphone array. The method was based on identifying time-frequency zones where only one source is active, reducing the problem to single-source localization for these zones. A histogram of estimated Directions of Arrival (DOAs) was formed and then processed...
In this paper, we present an active sampling method to speed up conventional pixel-wise background subtraction algorithms. The proposed active sampling strategy is designed to focus on attentional region such as foreground regions. The attentional region is estimated by detection results of previous frame in a recursive probabilistic way. For the estimation of the attentional region, we propose a...
Most automatic face recognition algorithms try to normalize facial images in order to remove variations caused by anything but the identity of the person. Lighting conditions being less problematic since the introduction of reliable and affordable depth sensors, head pose is the other great source of un-desired variations in facial images. In this paper, we describe recent state-of-the-art methods...
As the weight of the general system characteristics (GSC) in IFPUG method is the same in the different types of software systems. To solve the problem, this article uses the Fuzzy AHP (Analytic Hierarchy Process) approach to assign weight to the fourteen general system characteristics, and gives the improved formula of VAF. It makes IFPUG method more suitable to these other types of software systems...
This paper presents the modeling and estimation of state of charge (SoC) for Li-ion batteries using ANFIS architecture. The system consists of two phases of operation. The phase 1 is the SoC modeling process. The phase 2 is the real-time estimation process. Firstly, on the phase-1 operation, a brand-new Li-ion battery is used for a completely discharge cycle which consists of 355 cycles of discharge/charge...
Distance calculation is always one of the most important goals in a digital stereoscopic vision system. In an AER system this goal is very important too, but it cannot be calculated as accurately as we would like. This demonstration shows a first approximation in this field, using a disparity algorithm between both retinas. The system can make a distance approach about a moving object, more specifically,...
Application Specific Instructions-set Processors (ASIPs) are needed to handle the future demand of flexible and high performance computation in parallel real-time computing domain. Current ASIP design methodologies are mostly based on the accurate understanding of application source codes. Profilers can automatically analyse source codes and get interesting information from them to aid processor architecture...
This paper presents the design and implementation of a real-time real-world beat tracking system which runs on a dancing robot. The main problem of such a robot is that, while it is moving, ego noise is generated due to its motors, and this directly degrades the quality of the audio signal features used for beat tracking. Therefore, we propose to incorporate ego noise reduction as a pre-processing...
This work analyzes the impact of medium access control (MAC) layer on the performance of real-time cooperative positioning in ad-hoc mobile wireless networks. The probability mass function (pmf) of the latency introduced by the MAC layer is here derived to assess the influence of MAC parameters on the latency and then operate on those to improve the positioning performance while reducing the number...
This paper describes our method to fit a 3D skeleton to the human hand using depth images. The human hand is represented by a 3D skeleton with 21 parts. This model is used to generate synthetic depth images, that are used to train Random Decision Forests (RDF), which are used to assign each pixel to a hand part. Mean-shift method is used on the classification results and joint locations are estimated...
Most previous work in cache analysis for WCET estimation assumes a particular replacement policy called LRU. In contrast, much less work has been done for non-LRU policies, since they are generally considered to be very "unpredictable". However, most commercial processors are actually equipped with these non-LRU policies, since they are more efficient in terms of hardware cost, power consumption...
Real-time 3D motion capture for the human hand opens many avenues for HCI. This work describes our framework for fitting a 3D skeleton to the human hand using depth images. We represent a human hand by a 3D skeleton with 15 joints. Using this model, various synthetic depth images are generated. Random Decision Forests (RDF) are trained and used to assign each pixel to a hand part. A mean-shift method...
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