新型国产轨道交通接触网检测系统研究

根据上海城轨交通接触网的现状及特点,阐述应用机器视觉理论研究开发专用非接触式接触网检测系统的关键技术,主要包括弓网关系、国内外检测技术现状、采用的技术路线、方案具体实施等,内容涉及高速数字成像、图像识别模型、图像边缘处理、几何光学布置设计、里程定位设计、多任务多进程软件设计。结果表明,接触网监测产品作为轨道交通接触网的专业检测装置,可适应国内轨道交通接触网的现状,同时利用自主研发的专业技术,可摆脱对国外进口设备的依赖,并能节约成本。     

基于多源信息融合的行人检测实时性方法研究

目前车辆安全预警系统中存在行人检测粗检不准,细检过慢的问题,孤立的采用激光、雷达、红外或是摄像机均很难满足行人检测实时而准确的需求.考虑用多源信息融合的方法进行行人检测即将雷达与摄像机结合运用,使它们的信息有机融合,在提高速度的同时又不以降低精度为代价.研究了适应车载安全系统的摄像机标定与确定行人重点检测区域的方法.     

Specific object re-identification across non-overlapping camera views in traffic accidents

ABSTRACT

To improve the robustness of object re-identification in complex outdoor environments for traffic safety systems, a novel object re-identification algorithm based on the Individual Similarity Difference Feature (ISDF) method is proposed. This method can provide reliable support for specific object tracking during traffic accidents in video surveillance networks. First, all the images in the gallery are divided into three parts according to a segmentation ratio, and six types of feature for each part are extracted. Second, prototypes for each feature of the three parts are constructed. Third, the image sequence of the same person is grouped, and then the ISDF is extracted from each image. Finally, we use the AdaBoost classifier to judge whether the two objects are matched and then output the final results. Extensive experiments are conducted on two public data sets (Eidgenössische Technische Hochschule Zürich and multi-camera object tracking). The performance of the object re-identification method is superior to the latest methods.     

基于单目机器视觉的船舶测距定位原理研究

利用透视投影几何关系和摄像机内部参数,计算船舶与各陆标之间的距离,提出一种基于单目机器视觉的船舶测距定位方法。仿真结果表明,该方法与传统的陆标定位方法相比,具有简易、实时、受海况影响小的优势,可满足全封闭舰船陆标定位要求。     

从潜艇潜望镜到潜艇成像系统的新概念

提出了潜艇成像的全新概念。现代潜艇的获取外部图像信息的方式不再局限于潜艇潜望镜和光电桅杆，而是通过空中、水上和水下三维方式的多种成像传感器实时地向潜艇指挥员提供艇外图像信息。通过这种潜艇成像系统提供的全方位信息，这就大大提高了潜艇的作战能力同时也增强了潜艇的隐蔽性。潜艇成像系统是由8种成像子系统组成的。分别对8种成像子系统的技术现状做了简要的分析。     

长春轻轨三期闭路电视监视系统方案简析

对轨道交通中闭路电视监视系统的解决方案进行阐述,同时介绍长春轻轨三期工程闭路电视监视系统的系统方案及功能。     

接触线覆冰在线监测方法研究

针对接触线覆冰可能造成电力机车行车时的重大事故,研究通过在支柱上安装摄像机拍摄接触线覆冰,对其形状进行计算分析,以预报冰灾.首先采用摄像机标定技术在云台旋转后实现自动标定,通过对覆冰图像进行边缘提取,将边缘的图像坐标转换为世界坐标,拟合出接触线覆冰厚度分布曲线,应用人工智能分析覆冰厚度与冰凌长度.实验表明,计算机显示结果的误差在10％以内,能够满足监控接触网覆冰的现场需要.     

Model-based gait representation via spatial point reconstruction

This paper proposed a novel model-based feature representation method to characterize human walking properties for individual recognition by gait. First, a new spatial point reconstruction approach is proposed to recover the coordinates of 3D points from 2D images by the related coordinate conversion factor (CCF). The images are captured by a monocular camera. Second, the human body is represented by a connected three-stick model. Then the parameters of the body model are recovered by the method of projective geometry using the related CCF. Finally, the gait feature composed of those parameters is defined, and it is proved by experiments that those features can partially avoid the influence of viewing angles between the optical axis of the camera and walking direction of the subject. Foundation item: the National Natural Science Foundation of China (No. 60675024)     

Camera calibration with 1D rotating objects

In this paper, we use 1D rotating objects to calibrate camera. The calibration object has three collinear points. It is not necessary for the object to rotate around one of its endpoints as before; instead, it rotates around the middle point in a plane. In this instance, we can use two calibration constraints to compute the intrinsic parameters of a camera. In addition, when the 1D object moves in a plane randomly, the proposed technique remains valid to compute the intrinsic parameters of a camera. Experiments with simulated data as well as with real images show that our technique is accurate and robust.     

无人驾驶汽车路径识别算法研究

主要介绍采用机器视觉的无人驾驶汽车在路径识别方面采用的一种新的路径识别方法,该方法通过摄像头标定、车辆位置和道路位置标定、图像预处理等一系列预先处理方式,结合图像识别中的启发式搜索算法达到准确识别路径的目的。