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长春光学精密机械与物... [2]
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会议论文 [2]
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2012 [1]
2007 [1]
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专题:长春光学精密机械与物理研究所
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Comparison of radiation temperature measurement precision between middlewave and longwave thermal-imaging systems (EI CONFERENCE)
会议论文
2012 International Conference on Optoelectronics and Microelectronics, ICOM 2012, August 23, 2012 - August 25, 2012, Changchun, China
Sun Z.
;
Zhu W.
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浏览/下载:16/0
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提交时间:2013/03/25
A comparison study on temperature measurement precision between middlewave 3-5m and longwave 8-12m measuring thermal imaging systems has been conducted. The study was limited to systems working in indoor conditions and the target's temperature is in the range of 270K900K. First
the Disturb Resisting Function (DRF) of infrared systems is deduced. On the base of DRF curve
we find that the middlewave infrared system get the smaller influences under the same size disturb compared with the longwave system. A theory of the influence of target's physical characteristic and measurement conditions on the accuracy of temperature measurements has been developed. On the basis of the developed formulas an analysis of the influence of signal disturbances (because of incorrectly assumed emissivity
limited transmittance of the atmosphere
radiation reflected by the object and shift of optics radiation) on the accuracy of temperature measurement has been made. It has been found that the middlewave systems in typical temperature range offer generally better accuracy in temperature measurement than the longwave ones do. 2012 IEEE.
Integrated intensity, orientation code and spatial information for robust tracking (EI CONFERENCE)
会议论文
2007 2nd IEEE Conference on Industrial Electronics and Applications, ICIEA 2007, May 23, 2007 - May 25, 2007, Harbin, China
Zhang X.
;
Sun H.
;
Wang Y.
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提交时间:2013/03/25
real-time tracking is an important topic in computer vision. Conventional single cue algorithms typically fail outside limited tracking conditions. Integration of multimodal visual cues with complementary failure modes allows tracking to continue despite losing individual cues. In this paper
we combine intensity
orientation codes and special information to form a new intensity-orientation codes-special (IOS) feature to represent the target. The intensity feature is not affected by the shape variance of object and has good stability. Orientation codes matching is robust for searching object in cluttered environments even in the cases of illumination fluctuations resulting from shadowing or highlighting
etc The spatial locations of the pixels are used which allow us to take into account the spatial information which is lost in traditional histogram. Histograms of intensity
orientation codes and spatial information are employed for represent the target Mean shift algorithm is a nonparametric density estimation method. The fast and optimal mode matching can be achieved by this method. In order to reduce the compute time
we use the mean shift procedure to reach the target localization. Experiment results show that the new method can successfully cope with clutter
partial occlusions
illumination change
and target variations such as scale and rotation. The computational complexity is very low. If the size of the target is 3628 pixels
it only needs 12ms to complete the method. 2007 IEEE.
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