8,943 research outputs found
Egocentric Hand Detection Via Dynamic Region Growing
Egocentric videos, which mainly record the activities carried out by the
users of the wearable cameras, have drawn much research attentions in recent
years. Due to its lengthy content, a large number of ego-related applications
have been developed to abstract the captured videos. As the users are
accustomed to interacting with the target objects using their own hands while
their hands usually appear within their visual fields during the interaction,
an egocentric hand detection step is involved in tasks like gesture
recognition, action recognition and social interaction understanding. In this
work, we propose a dynamic region growing approach for hand region detection in
egocentric videos, by jointly considering hand-related motion and egocentric
cues. We first determine seed regions that most likely belong to the hand, by
analyzing the motion patterns across successive frames. The hand regions can
then be located by extending from the seed regions, according to the scores
computed for the adjacent superpixels. These scores are derived from four
egocentric cues: contrast, location, position consistency and appearance
continuity. We discuss how to apply the proposed method in real-life scenarios,
where multiple hands irregularly appear and disappear from the videos.
Experimental results on public datasets show that the proposed method achieves
superior performance compared with the state-of-the-art methods, especially in
complicated scenarios
Communication Theoretic Data Analytics
Widespread use of the Internet and social networks invokes the generation of
big data, which is proving to be useful in a number of applications. To deal
with explosively growing amounts of data, data analytics has emerged as a
critical technology related to computing, signal processing, and information
networking. In this paper, a formalism is considered in which data is modeled
as a generalized social network and communication theory and information theory
are thereby extended to data analytics. First, the creation of an equalizer to
optimize information transfer between two data variables is considered, and
financial data is used to demonstrate the advantages. Then, an information
coupling approach based on information geometry is applied for dimensionality
reduction, with a pattern recognition example to illustrate the effectiveness.
These initial trials suggest the potential of communication theoretic data
analytics for a wide range of applications.Comment: Published in IEEE Journal on Selected Areas in Communications, Jan.
201
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Three-Gorges Dam Fine Sediment Pollutant Transport: Turbulence SPH Model Simulation of Multi-Fluid Flows
YesThe Three Gorges Dam (TGD) constructed at the Yangtze River, China represents a revolutionary project to
battle against the mage-scale flooding problems while improving the local economy at the same time.
However, the large-scale fine-size sediment and pollutant material transport caused by the TGD operation are
found to be inevitable and long-lasting. In this paper, a multi-fluid Incompressible Smoothed Particle
Hydrodynamics (ISPH) model is used to simulate the multi-fluid flows similar to the fine sediment materials
transport (in muddy flows) and water flow mixing process. The SPH method is a mesh-free particle modeling
approach that can treat the free surfaces and multi-interfaces in a straightforward manner. The proposed
model is based on the universal multi-fluid flow equations and a unified pressure equation is used to account
for the interaction arising from the different fluid components. A Sub-Particle-Scale (SPS) turbulence model
is included to address the turbulence effect generated during the flow process. The proposed model is used to
investigate two cases of multi-fluid flows generated from the polluted flow intrusions into another fluid. The
computations are found in good agreement with the practical situations. Sensitivity studies have also been
carried out to evaluate the particle spatial resolution and turbulence modeling on the flow simulations. The
proposed ISPH model could provide a promising tool to study the practical multi-fluid flows in the TGD
operation environment.The Major State Basic Research Development Program (973 program) of China (No. 2013CB036402) and the National Natural Science Foundation of China (No. 51479087)
Tracking the Yadong-Gulu Rift belt with multiple thermochronometers on modern detritus from Yarlung-Tsangpo River
Abstract HKT-ISTP 2013
A
Variation of the Fine-Structure Constant from the de Sitter Invariant Special Relativity
There are obvious discrepancies among various experimental constraints on the
variation of the fine-structure constant, . We attempt to discuss the
issue in the framework of de Sitter invariant Special Relativity () and to present a possible solution to the disagreement. In
addition, on the basis of the observational data and the discussions presented
in this Letter, we derive a rough theoretical estimate of the radius of the
Universe.Comment: 8 pages, no figure
The robustness of interdependent clustered networks
It was recently found that cascading failures can cause the abrupt breakdown
of a system of interdependent networks. Using the percolation method developed
for single clustered networks by Newman [Phys. Rev. Lett. {\bf 103}, 058701
(2009)], we develop an analytical method for studying how clustering within the
networks of a system of interdependent networks affects the system's
robustness. We find that clustering significantly increases the vulnerability
of the system, which is represented by the increased value of the percolation
threshold in interdependent networks.Comment: 6 pages, 6 figure
Geographical, meteorological and vectorial factors related to malaria re-emergence in Huang-Huai River of central China
<p/> <p>Background</p> <p>Malaria still represents a significant public health problem in China, and the cases dramatically increased in the areas along the Huang-Huai River of central China after 2001. Considering spatial aggregation of malaria cases and specific vectors, the geographical, meteorological and vectorial factors were analysed to determine the key factors related to malaria re-emergence in these particular areas.</p> <p>Methods</p> <p>The geographic information of 357 malaria cases and 603 water bodies in 113 villages were collected to analyse the relationship between the residence of malaria cases and water body. Spearman rank correlation, multiple regression, curve fitting and trend analysis were used to explain the relationship between the meteorological factors and malaria incidence. Entomological investigation was conducted in two sites to get the vectorial capacity and the basic reproductive rate to determine whether the effect of vector lead to malaria re-emergence.</p> <p>Results</p> <p>The distances from household of cases to the nearest water-body was positive-skew distributed, the median was 60.9 m and 74% malaria cases were inhabited in the extent of 60 m near the water body, and the risk rate of people live there attacked by malaria was higher than others(<it>OR </it>= 1.6, 95%<it>CI </it>(1.042, 2.463), <it>P </it>< 0.05). The annual average temperature and rainfall may have close relationship with annual incidence. The average monthly temperature and rainfall were the key factors, and the correlation coefficients are 0.501 and 0.304(<it>P </it>< 0.01), respectively. Moreover, 75.3% changes of monthly malaria incidence contributed to the average monthly temperature (T<sub>mean</sub>), the average temperature of last two months(T<sub>mean01</sub>) and the average rainfall of current month (R<sub>mean</sub>) and the regression equation was Y = -2.085 + 0.839I<sub>1 </sub>+ 0.998T<sub>mean0 </sub>- 0.86T<sub>mean01 </sub>+ 0.16R<sub>mean0</sub>. All the collected mosquitoes were <it>Anopheles sinensis</it>. The vectorial capacity and the basic reproductive rate of <it>An. sinensis </it>in two sites were 0.6969, 0.4983 and 2.1604, 1.5447, respectively.</p> <p>Conclusion</p> <p>The spatial distribution between malaria cases and water-body, the changing of meteorological factors, and increasing vectorial capacity and basic reproductive rate of <it>An. sinensis </it>leaded to malaria re-emergence in these areas.</p
Optimizing Logical Execution Time Model for Both Determinism and Low Latency
The Logical Execution Time (LET) programming model has recently received
considerable attention, particularly because of its timing and dataflow
determinism. In LET, task computation appears always to take the same amount of
time (called the task's LET interval), and the task reads (resp. writes) at the
beginning (resp. end) of the interval. Compared to other communication
mechanisms, such as implicit communication and Dynamic Buffer Protocol (DBP),
LET performs worse on many metrics, such as end-to-end latency (including
reaction time and data age) and time disparity jitter. Compared with the
default LET setting, the flexible LET (fLET) model shrinks the LET interval
while still guaranteeing schedulability by introducing the virtual offset to
defer the read operation and using the virtual deadline to move up the write
operation. Therefore, fLET has the potential to significantly improve the
end-to-end timing performance while keeping the benefits of deterministic
behavior on timing and dataflow.
To fully realize the potential of fLET, we consider the problem of optimizing
the assignments of its virtual offsets and deadlines. We propose new
abstractions to describe the task communication pattern and new optimization
algorithms to explore the solution space efficiently. The algorithms leverage
the linearizability of communication patterns and utilize symbolic operations
to achieve efficient optimization while providing a theoretical guarantee. The
framework supports optimizing multiple performance metrics and guarantees
bounded suboptimality when optimizing end-to-end latency. Experimental results
show that our optimization algorithms improve upon the default LET and its
existing extensions and significantly outperform implicit communication and DBP
in terms of various metrics, such as end-to-end latency, time disparity, and
its jitter
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