At last, a feasible real-time image object recognition track algorithm is concluded in the thesis.
最后提出了一种可行的实时图像识别、跟踪算法。
A conventional object recognition system, when trying to discern a particular type of object in a digital image, will generally begin by looking for the object's salient features.
传统的物像识别系统在辨别数字图形中的一个特定物体时，通常是从寻找该物体的显著部件开始的。
Image segmentation is the process of detecting objects or interesting areas from input image, and it is an important step in object detection and recognition.
图像分割是从输入图像中提取目标或感兴趣区域的过程，是目标检测和识别过程中的重要步骤。
Shape recognition of object is important research direction in pattern recognition, and is widely used in image analysis, machine vision and target discrimination.
物体的形状识别是模式识别的重要方向，广泛应用于图像分析、机器视觉和目标识别等领域。
Image segmentation is the key step in object recognition and image understanding.
图象分割是图象理解和物体识别的第一步处理。
The technology of object automatic recognition on remote-sensing image is a very active research field in pattern recognition and image processing these years.
遥感图像目标自动识别技术是计算机模式识别与图像处理领域非常活跃的研究课题。
Shape is the inherence characteristic of an object in the image, and it is the important character used for the object recognition.
形状是图像中目标的基本内在特性，是用于目标识别的重要特征，因此基于形状的目标识别方法研究具有重要意义。
The invariable moment, which is invariable to the translation, scaling and rotation of image, is widely used in object recognition, image classification, image condensation, scene matching and so on.
矩不变量在图像进行平移、旋转和尺度变换时保持定值，因此被广泛使用在目标识别、图像分类、图像压缩和场景匹配等各种领域。
The detection and segmentation of Object-of-Interest (OOI extraction) are always among the key issue of several fields, such as computer vision, image understanding and pattern recognition etc.
感兴趣的物体检测和分割(统称为感兴趣物体的提取)一直是计算机视觉、图像理解和模式识别等研究领域的重要关注点之一。
Shape recognition of object is one of the important directions in pattern recognition, and is widely used in image analysis, machine vision and target discrimination, etc.
物体的形状识别是模式识别的重要方向之一，广泛应用于图像分析、机器视觉和目标识别等领域。
Through the analysis of the features of bridge object in long range IR image, a new recognition algorithm based on knowledge framework is put forward.
针对远距红外图像中桥梁目标的特征，提出了一种基于知识框架的桥梁目标识别算法。
The method of flame recognition based on image difference detects the moving information by differencing two sequential frames or every two frames according to the speed of object.
基于差分的火焰识别方法是根据运动目标的速度进行相邻帧或者隔帧差分以得到运动信息。
This thesis mainly deals with the infrared target detection under complex background, which is achieved by the methods of image enhancement, image segmentation and object recognition.
本文主要研究了复杂背景下红外成像的目标检测问题，通过红外图像的增强、分割以及目标识别等手段实现目标的可靠检测。
Object recognition and counting according to image is a research direction in the field of image processing and recognition.
根据图像对已知物体的识别和计数是图像处理和识别领域的一个研究方向。
Image segmentation is significant because all subsequent tasks such as feature extraction, object recognition are dependent on the quality of image segmentation.
图像在分割后的处理，如特征提取、目标识别等都依赖于图像的分割质量，因此具有十分重要的意义。
In the system of IR object recognition, it is needed to collect IR image data in realtime.
红外目标识别系统中，需要实时采集红外传感器的图像数据。
The recognition of moving object is important and difficult. Now, CNN has been used for image primary processing abroad, and the processing of recognition uses other methods such as DSP algorithm.
移动目标的识别是本文的一个难点和重点，目前国外的相关研究中，细胞神经网络大多用在图像的初级处理上，识别过程用其它方法实现，如基于DSP算法。
Based on the model, the intelligent recognition and tracking of the image object in the led visual digital tracking system is discussed.
基于模型，研究牵引式可视数字跟踪系统中目标的智能识别跟踪。
The neural net is suited for computing two dimensional image moments in real time and it is further applicable to image or object recognition.
该网络适合于实时计算二维图象矩，可进一步用于图象或目标识别。
Based on the focus of visual attention the model can improve the efficiency of image processing and get more accurate image information to implement accurate object recognition.
基于注意焦点的物体识别可以获得更加精确的图像信息，提高物体识别的准确度。
Based on the proposed approach, we take advantage of Object-Oriented Analysis and Design methodology to establish an image recognition system.
依据本文所提出的方法，使用面向对象的分析设计方法，建立了图像识别系统。
Image segmentation and object tracking are important research task in the field of computer vision, they are wildly used in areas such as pattern recognition, image editing, intelligent surveillance.
图像分割和目标跟踪技术是计算机视觉领域的重要的研究方向，在模式识别、图像编辑、智能监控等领域有着广泛的应用。
Taking the tread in alibi as object, this thesis introduces some knowledge about image processing and pattern recognition, and extracts characteristic feature in complex background.
本文以犯罪现场遗留足迹为对象，阐述了图像处理和模式识别的相关知识，实现复杂背景下的对象特征提取。
Feature point matching is a key problem of computer vision and is frequently used in object recognition, image retrieval and 3d reconstruction and so on.
图像序列中的特征点匹配是计算机视觉中的一个基本问题，也是目标识别、图像检索以及3维重建等问题的基础。
Image segmentation and pattern recognition technologies for underwater object are two important links in underwater optical vision technology.
水下目标的图像分割和模式识别技术是水下光视觉技术中的两个重要环节。
A new method for recognition and tracking of image object is advanced.
提出一种目标识别跟踪的新方法。
The fusion image is more suitable for human visual perception and the other image processing, such as image segmentation, feature extraction and object recognition.
融合图像更适合人的视觉和便于图像的后续处理，如图像分割、特征提取等。
Employing this radar system for moving object image has abroad applications in many aspects such as classify, recognition of object, and so on.
利用该体制雷达对运动目标成像，可用于目标分类、识别等，具有广泛的应用前景。
Based on the practice of mobile robot vision navigation, the paper presents methods of image segmentation based on color models and object recognition.
基于移动机器人视觉处理的实践，提出了基于颜色模型的图像分割方法。
"Pattern recognition and image processing summer camp" consists of three main themes: 1 Visual Surveillance and Object Tracking 2 Kinect-based Object recognition 3 image processing and Analysis.
“2014模式识别与图像处理夏令营”包含三大主题：1视觉监控与物件追踪；2基于Kinect的物体识别；3影像处理和分析。我们为每个主题设计了一整天的活动，包括讲授与实验课程。
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