A novel motion detection method based on robust statistics was proposed.
提出了一种基于鲁棒统计量的运动检测方法。
The experiment results show that this method can be applied to other geometry character detection problems in noise included image, and the algorithm is efficient and robust.
试验结果表明，本方法可用于含噪图像中的几何特征检测，该方法具有较好的准确性和较强的稳定性。
Based on level set method and background subtraction, this paper proposed an approach to (realize) robust detection and segmentation of multiple motion objects.
给出了一种对光照变化等实际环境中干扰不敏感的基于水平集和背景减的运动目标检测与分割方法。
In the end, the optimal decoupling strategy for robust fault detection filter method and its application for large-scale interconnected systems are also discussed.
最后，研究最优解耦策略鲁棒故障检测滤波器方法及其在关联大系统中的应用。
A new method for robust fault detection of the system with unknown inputs is proposed.
提出了系统存在未知输入时实现鲁棒故障检测的一种新方法。
This method can detect intrusion action on system level, network level and user level, simulation experiment indicates the method has very highly detection ability and robust ability.
该方法能够检测系统级、网络级和用户级的入侵行为，模拟实验表明该方法有很强的检测能力和较好的鲁棒性。
A video detection method of the invention is real-time, robust and easy to realize and operate.
本发明视频检测方法实时、鲁棒、易于实现和操作。
The experimental results show that the method is efficient in edge detection, and it is very robust to noises.
实验结果表明，所给的方法对边缘检测非常有效，具有良好的鲁棒性。 为图像的稠密匹配奠定了坚实的基础。
A fast and robust method for diagnostic and detective purpose is badly needed to support the monitoring of non-quarantine area construction and custom detection system for citrus materials.
柑桔非疫区建设的疫情监测和柑桔苗木、果品出入境检疫检验要求快速准确的诊断鉴定技术为支撑。
A fast and robust approach method for making the detection, localization and tracking of a persona face in image sequences was presented. A new representation of motion energy was defined.
提出了一种快速的、鲁棒的人脸定位及跟踪研究方法，定义了一种新的运动能量表示方法，利用该方法可以很快地检测出图像中的运动区域。
The results of experiments show that the proposed method can effectively solve some issues in lane detection, and it is real-time and robust.
实验表明，本文的方法有效解决了车道检测过程中的若干问题，具有较好的实时性和鲁棒性。
Finally, several traffic videos of different environment are tested, and the results indicate the proposed method is efficient, high-detection-rate and robust.
最后，对不同环境下的多组视频进行测试，结果证明此算法检测精度高且算法实时性好，具有较好的鲁棒性。
Finally, several traffic videos of different environment are tested, and the results indicate the proposed method is efficient, high-detection-rate and robust.
最后，对不同环境下的多组视频进行测试，结果证明此算法检测精度高且算法实时性好，具有较好的鲁棒性。
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