Crowd panic behavior detection is an important task in video analysis and event recognition, whose purpose is to detect when the panic behavior happened and alarming the abnormal event timely. In this paper, the crowd...
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Crowd panic behavior detection is an important task in video analysis and event recognition, whose purpose is to detect when the panic behavior happened and alarming the abnormal event timely. In this paper, the crowd is regard as a fluid, and the crowd motion is described by four fluid kinematic features (divergence, vorticity, gradient tensor invariant and rotation tensor invariant). To discriminate the panic event from normal crowd behavior, an information entropy is calculated as a high level feature based on the fluid kinematic features. Experimental results show that the entropy raised dramatically once a panic event happened.
Vision-based human action recognition provides an advanced interface, and research in this field of human action recognition has been actively carried out. This paper describes a scheme for recognizing human actions f...
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Vision-based human action recognition provides an advanced interface, and research in this field of human action recognition has been actively carried out. This paper describes a scheme for recognizing human actions from a video sequences. The proposed method is an extension of the Motion History Image(MHI) method based on the ordinal measure of accumulated motion, which is robust to variations of appearances. We define the accumulated motion image(AMI) using image differences firstly. Then the AMI of the video sequencesis resized to a M×N regulation following the standard of training phases. Finally, we employ Support Vector Machine(SVM) as a classifier to distinguish the current activity in target video sequences. In a word, our proposed algorithm not only outperforms the state of art on public available KTH data set and Weizmann data set, but also proves practical to some real world applications, in addition, this method is computationally simple and able to achieve a satisfactory accuracy.
This paper analyzes the performance of object tracking algorithms. The issues that affect precision in object tracking are analyzed first and how the parameters in tracking algorithms affect the precision in object tr...
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Internet server as a distributing global information service center which produced much amount of data every time or every day, it is a very urgent need to get interesting and important information from internet effic...
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Through analyzing of the electric power steering (EPS) structure and union the vehicle dynamic characteristics, this paper establishes a mathematical model of EPS. And the EPS system simulation model based on Matlab/S...
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Hammerstein models are popular in describing nonlinear chemical processes. The general control strategy for Hammerstein models is the nonlinearity inversion method, which is unfortunately inapplicable to Hammerstein s...
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In this paper, we design and implement a reliable data processing and analysis test bed (NESCTB) for wireless sensor networks (WSNs). It contains 36 wireless sensor nodes connected through Ethernet to a central server...
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In wireless sensor networks (WSNs), trap coverage has recently been proposed to tradeoff between the availability of sensor nodes and sensing performance. It offers an efficient framework to tackle the challenge of li...
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Modular product development plays an important role in helping manufacturing companies provide product variety rapidly in achieving competitive *** development of product options plays a significant role by providing ...
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ISBN:
(纸本)9783037850992
Modular product development plays an important role in helping manufacturing companies provide product variety rapidly in achieving competitive *** development of product options plays a significant role by providing a selecting list for customizing,and has a key impact on the development of modular products.A process for product options development has been developed to guide the activities of determining product options and their *** mathematical models have been brought forward to support decision-makings within the proposed process.A prototype system based on this process and mathematical models has been developed and tested in a machine manufacture plant,with satisfactory results.
Product innovation is the pivotal factor for enterprise to keep advantages of competition,and the effective product innovation management is the impetus for the enterprise about keeping having the energy of *** situat...
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ISBN:
(纸本)9783037850992
Product innovation is the pivotal factor for enterprise to keep advantages of competition,and the effective product innovation management is the impetus for the enterprise about keeping having the energy of *** situation,research background and requirement of product innovation management as well as lean management are introduced *** on the wonderful applied foreground and predominance of lean management in product innovation,a lean product innovation framework is proposed in this *** framework is in favor of establishing the lean management mode and evaluation system of lean innovation,which helps to promote the innovation capability of enterprise finally.
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