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长春光学精密机械与物... [3]
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会议论文 [3]
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2011 [1]
2010 [2]
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专题:长春光学精密机械与物理研究所
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Study on image real-time interpretation based on particle filter (EI CONFERENCE)
会议论文
2011 International Conference on Mechatronic Science, Electric Engineering and Computer, MEC 2011, August 19, 2011 - August 22, 2011, Jilin, China
Wang Z.-Q.
;
Liu S.-J.
;
Geng T.-W.
;
Shen C.-W.
;
Yu S.-B.
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  |  
浏览/下载:23/0
  |  
提交时间:2013/03/25
In order to satisfy to the real-time requirement of image interpretation system in photoelectric measurement equipments
a kind of hardware acceleration system with MIMD distributed multi-processor architecture based on SOPC technology is designed. The particle filter algorithm is proposed to process image interpretation for state estimation problem of nonlinear and non-Gaussian system. This algorithm does not involve conventional linearization transform
and has approximated the posterior probability density by a set of discrete particles. Therefore the approximate optimum result is educed. It has a high accuracy and a rapid convergence. Experimental results show that the algorithm be adequate to real time
accuracy and robustness
meets the requirement of image interpretation and possesses practical significance for engineering applications. 2011 IEEE.
Focusing control system of photoelectric theodolite based on CAN bus (EI CONFERENCE)
会议论文
2010 2nd International Conference on Computer Engineering and Technology, ICCET 2010, April 16, 2010 - April 18, 2010, Chengdu, China
Mi Y.
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浏览/下载:18/0
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提交时间:2013/03/25
The development trend of focusing control system is high speed
reliable control and miniaturization. A new autofocusing control system based on CAN bus is designed
which realizes the real-time communication and synchronization control among the distributed control system. A design process of CAN interface based on TJAI050 is presented. The principle of focusing control and the hardware and software design are presented in detail. All experiments show that the control system has the advantages such as high accuracy and anti-interference ability
and meets the requirements of high speed and good stability. 2010 IEEE.
An intelligent video surveillance system (EI CONFERENCE)
会议论文
2010 International Conference on E-Product E-Service and E-Entertainment, ICEEE2010, November 7, 2010 - November 9, 2010, Henan, China
Gao S.
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浏览/下载:12/0
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提交时间:2013/03/25
This paper presents an intelligent video surveillance system. The system is composed of one or more nodes flexibly according to the application scenarios such as private properties
banks and museums. Each node is an autonomous vision-based device capable to perform intelligent tasks. It is able to digitize and compress the acquired analog video signals in MPEG-4 standard and then transmit the compressed video stream to the control center. At the same time
the node makes use of a statistical approach for real-time detecting moving object and online alarm generation to enable a single human operator to monitor activities over a complex area using a distributed network of active video sensors. The node is implemented on a platform with high performance to ensure that the algorithm is able to run in real-time. Applications demonstrate that the intelligent system has an excellent performance in many scenarios to help people make decisions more accurately and rapidly. 2010 IEEE.
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