Two types of alarm are over-thermal area detection and moving object detection.
一种是过热区的探测报警，另一类是运动目标的探测报警。
This thesis focuses on moving object detection and tracking in MPEG-compressed videos.
本文重点研究了在MPEG压缩视频流中的运动目标检测与跟踪问题。
Moving object detection and tracking in video sequences based on boundary vector field;
本论文的主要工作是研究动态背景下的运动目标检测和跟踪。
So, a series of moving object detection method are presented through making a thorough study continuously.
因此，人们经过不断地深入研究，提出了一系列的运动目标检测算法。
This paper includes the image pretreatment (edges. detection), lane detection and moving object detection.
文章的主要内容包括图像的预处理——边缘检测、车道检测和运动目标检测。
Moving object detection is currently one of the most active research topics in the domain of computer vision.
目前。运动目标的检测是计算机视觉领域中最活跃的研究主题之一。
For the shortcomings of the existing security system, the thesis makes a security proposal based on moving object detection.
针对现有安防系统的弊端，本文提出了基于移动物体检测安防方案。
A novel moving object detection based on adaptive background subtraction and symmetrical differencing is presented in this paper.
本文提出了一种基于背景相减法和对称差分法来进行运动目标检测的方法。
In this paper, the methods of moving object detection in static and dynamic scene are studied deeply, especially the dynamic scene.
本文首先对适应于静态背景和动态背景的各种检测算法的原理进行了总结介绍。
Its mainly research topics include moving object detection, moving object recognition and tracking, abnormal behavior detection and alarm.
主要研究内容包括运动物体的检测、运动物体的识别和跟踪、异常现象的检测和报警等。
Small noises and holes often remain in the binary images of moving object detection, which can affect the analysis and track of moving object.
在运动物体检测后的二值图像中，经常会存在细小噪声和内部空洞，不利于运动对象后期的分析和跟踪。
The paper focuses on moving object detection, shadow inhibition and moving object tracking and so on in the single stationary camera environment.
重点研究了静止的单摄像机所拍摄的视频中运动目标的检测，运动目标的阴影抑制以及运动目标跟踪等方面。
Lane detection and moving object detection that we studied are the key technologies in the vision navigation of the Autonomous Highway Vehicle (AHV).
本文针对自动驾驶汽车视觉导航中的车道检测和运动目标检测这两个关键技术进行了研究。
A new background model of non-parameter kernel density estimate was presented on the basis of abundant study on algorithms of moving object detection.
在充分研究现有运动目标检测算法的基础上，提出了一种新的非参数核密度估计背景模型。
Video surveillance system has been used widely nowadays, and the moving object detection at sea, especially, has become a key step in security surveillance.
当前，视频监控在各行各业得到了广泛的应用，尤其是海上运动目标的检测，已经成为安防应用的重点。
An approach of background estimation is presented using characters of random variable moments and applied in moving object detection under static background.
利用随机变量的各阶矩的性质，构造了一种基于高阶统计量的背景估计方法，并将其应用于静态背景下的运动目标检测。
This paper studied technologies of moving object detection and video surveillance tracking, and presented target tracing project which had applied a successfully.
本文详细地探讨了基于视频的移动目标检测和视频跟踪技术，并给出了一个成功的应用实例。
Secondly, detailed design of the image information processing module was given according to the requirements of moving object detection in a stationary background.
其次，根据静态背景下运动目标检测的要求，对图像信息处理模块进行了详细设计。
This paper presents an embedded system based on the rapid-pixel search algorithm, as well as video coding algorithm combining the moving object detection algorithm.
本论文提出了一种基于嵌入式系统的快速子像素搜索算法，以及与视频编码算法相结合的运动物体检测算法。
The work in this paper is mainly how to classification of foreground and background effectively using fusion of multiple features in the moving object detection and tracking.
本文主要工作针对运动目标检测和跟踪中的问题，研究运用多特征融合以更有效的完成前景运动目标和背景的分类。
Experimental results show that compared with moving object detection approach based on conventional Gaussian mixture model, it has a desirable stability and learning ability.
实验结果表明，该方法与传统高斯混合背景模型相比，有较好的学习能力与稳定性，能提高运动目标检测的正确率。
On human body moving object detection, the top of the moving object is located by vertical projection histogram, and the head and shoulder is located according to top position.
人体运动目标检测方面，利用纵向投影直方图确定运动目标的顶部位置，根据顶部位置来确定头肩区域。
Moving object detection is the important technology of scene monitoring. The shape of the object is affected mostly by its shadow, which the true object detection is interfered.
运动目标检测是场景监控的核心技术，而目标的阴影在很大程度上影响了目标的形状，干扰了真实目标的检测。
Background estimation based on block is proposed to solve the problem of building background model and updating background which can enhance the robust of moving object detection.
针对静态背景下的背景差法，通过研究如何得到、以及如何及时更新背景模型，增强运动目标检测随环境变化的鲁棒性，提出了多级分块的背景估计方法。
Secondly, three main algorithms of motion detection under a dynamic background are researched. The project of moving object detection based on matching feature point are proposed.
然后介绍了动态背景下运动目标检测的三种算法，针对特征点匹配方法检测运动目标的有关问题，提出了动态背景下运动目标检测方案。
Experimental results show that the lane detection and the moving object detection and tracking algorithm in this paper are robust, efficient and suitable for real-time processing.
实验结果表明，本文提出的车道检测和车辆识别与跟踪方法是可行的，能够满足系统实时性和准确性的要求。
Combining the thoughts of image intensity normalization and two-dimensional cross-entropy, a moving object detection algorithm, which is robust against illumination changes, is presented.
结合图像亮度归一化和二维交叉熵的思想提出了一种针对光照变化鲁棒性强的运动目标检测算法。
Combining the thoughts of image intensity normalization and two-dimensional cross-entropy, a moving object detection algorithm, which is robust against illumination changes, is presented.
结合图像亮度归一化和二维交叉熵的思想提出了一种针对光照变化鲁棒性强的运动目标检测算法。
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