This paper presents a review and comparative study of recent multi-view 2D and 3D approaches for human action recognition. The approaches are reviewed and categorized due to their nature. We report a comparison of the...
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ISBN:
(纸本)9781450309981
This paper presents a review and comparative study of recent multi-view 2D and 3D approaches for human action recognition. The approaches are reviewed and categorized due to their nature. We report a comparison of the most promising methods using two publicly available datasets: the INRIA Xmas Motion Acquisition Sequences (IXMAS) and the i3DPost Multi-View Human Action and Interaction Dataset. Additionally, we discuss some of the shortcomings of multi-view camera setups and outline our thoughts on future directions of 3D human action recognition. Copyright 2011 ACM.
In the mountain torrent disaster warning system, how to use high-performance embedded microcontroller controller and low consumption technology are the key problem. This paper designs a wireless sensor network (WSN) t...
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Manual visualization-based sleep stage classification is a time-consuming task prone to errors. Since the correct identification of sleep stages is vital for the correct identification of sleep disorders and for the r...
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Manual visualization-based sleep stage classification is a time-consuming task prone to errors. Since the correct identification of sleep stages is vital for the correct identification of sleep disorders and for the research in this field in general, there is a growing demand for efficient automatic classification methods. However, there is still no symbolic representation of the biomedical signals that leads to a reliable and accurate automatic sleep classification system. This work presents the application of a novel method for symbolic representation of the EEG and evaluates its potential as information source for a sleep stage classifier, in this case a SVM classifier. The data is first analyzed using Self-Organizing Maps (SOM) and a mutual information (MI)-based variable selection algorithm. Preliminary results of sleep data classification provide success rates around 70%. These results are promising since only EEG is used, and there is still room for improvement in this new symbolic representation of the signal.
ISS (Instruction Set Simulator) plays an important role in pre-silicon software development for ASIP. However, the speed of traditional simulation is too slow to effectively support full-scale software development. In...
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ISS (Instruction Set Simulator) plays an important role in pre-silicon software development for ASIP. However, the speed of traditional simulation is too slow to effectively support full-scale software development. In this paper, we propose a hybrid simulation framework which further improves the previous simulation methods by aggressively utilizing the host machine resources. The utilization is achieved by categorizing instructions of ASIP application into two types, namely custom and basic instructions, via binary instrumentation. Then in a way of hybrid simulation, only custom instructions are simulated on the ISS and basic instructions are executed fast and natively on the host machine. We implement this framework for an industrial ASIP to validate our approach. Experimental results show that when the implemented ISS, namely GS-Sim, is applied to practical multimedia decoders, an average simulation speed up to 1058.5MIPS can be achieved, which is 34.7 times of the state-of-art dynamic binary translation simulator and is the fastest to the best of our knowledge.
This paper introduces a two-stage Linear Logic based program synthesis approach to automatic RESTful web service composition. The Linear Logic theorem proof is applied at both resource and service invocation method le...
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Single cycle T-functions are newly proposed components in stream cipher. In order to verify if such function is suitable for cipher design, the cryptographic properties of single cycle T-function are discussed. Nonlin...
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Image processing in digital computer systems usually considers the visual information as a sequence of frames. These frames are from cameras that capture reality for a short period of time. They are renewed and transm...
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ISBN:
(纸本)9789898425720
Image processing in digital computer systems usually considers the visual information as a sequence of frames. These frames are from cameras that capture reality for a short period of time. They are renewed and transmitted at a rate of 25-30 fps (typical real-time scenario). Digital video processing has to process each frame in order to obtain a filter result or detect a feature on the input. In stereo vision, existing algorithms use frames from two digital cameras and process them pixel by pixel until it is found a pattern match in a section of both stereo frames. Spike-based processing is a relatively new approach that implements the processing by manipulating spikes one by one at the time they are transmitted, like a human brain. The mammal nervous system is able to solve much more complex problems, such as visual recognition by manipulating neuron's spikes. The spike-based philosophy for visual information processing based on the neuro-inspired Address-Event-Representation (AER) is achieving nowadays very high performances. In this work we study the existing digital stereo matching algorithms and how do they work. After that, we propose an AER stereo matching algorithm using some of the principles shown in digital stereo methods.
The use of simulation tools in the development of new Wireless Sensor Networks protocols and applications should be accompanied by minimisation of redundant code and work, making it possible to seamlessly run the same...
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ISBN:
(纸本)9789898425690
The use of simulation tools in the development of new Wireless Sensor Networks protocols and applications should be accompanied by minimisation of redundant code and work, making it possible to seamlessly run the same code on simulated and real platforms. This work proposes an architecture for a WSN testing platform that integrates simulation tools in an application-transparent way. The platform will be focused on testing the WSN sink node and providing it with both real and simulated data. The novelty of this approach lies in the use of a flexible network simulation tool not focused on a specific network technology, and the use of generic hardware and open source tools.
As more and more Web applications emerging on sever end today, the Web browser on client end has become a host of a variety of applications other than just rendering static Web pages. This leads to more and more perfo...
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As more and more Web applications emerging on sever end today, the Web browser on client end has become a host of a variety of applications other than just rendering static Web pages. This leads to more and more performance requirements of a Web browser, for which user experience is very important. This situation may become more urgency when on handheld devices. Some efforts like redesign a new Web browser have been made to overcome this problem. In this paper, we address this issue by optimizing the main processes of the Web browser on a state-of-the-art 64-core architecture, Godson-T, which was developed at Chinese Academy of Sciences, as multi-/many-core architecture to be the mainstream processor in the upcoming years. We start a new core to process a new tab when facing up to intensive URL requests, and we use scratch-pad memory (SPM) of each core as a local buffer to store the HTML source data to be processed to reduce off-chip memory access and exploit more data locality, otherwise, we use DTA to transfer HTML data for backup. Experiments conducted on the cycle-accurate simulator show that, starting each tab process by a new core could obtain 5.7% to 50% speedup with different number of cores used to process corresponding URL requests, with on-chip scratchpad memory of each core used to store the HTML data, more speedup could be achieved when number of cores increase. Also, as Data Transfer Agent (DTA) used to transfer the HTML data, the backup of HTML data can get 2X to 5X speedups according to different data amount.
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