Description: We present a real-time model-based vision approach for detecting and tracking vehicles from a moving platform. It
was developed in the context of the CMU Navlab project and is intended to provide the Navlabs with situational
awareness in mixed trac. Tracking is done by combining a simple image processing technique with a 3D extended
Kalman lter and a measurement equation that projects from the 3D model to image space. No ground plane
assumption is made. The resulting system runs at frame rate or higher, and produces excellent estimates of road
curvature, distance to and relative speed of a tracked vehicle. We have complemented the tracker with a novel
machine learning based algorithm for car detection, the CANSS algorithm, which serves to initialize tracking Platform: |
Size: 387072 |
Author:zhangjianrong |
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Description: 论述了复杂背景下运动车辆的检测方法研究与实验-Discusses the complexity of the moving vehicle detection method and experimental Platform: |
Size: 318464 |
Author:网一户 |
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Description: 基于动态模板检测运动物体，检测高速公路上每个车道上通过车辆数目-Detection of moving objects based on dynamic template, testing each lane on the highway by the vehicle titles Platform: |
Size: 30720 |
Author:飞鸟 |
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Description: 根据在十字路口实际情况及车辆闯红灯的特点，本文提出了一种车辆检测算法，该算法是基于首先在检测区域检测到移动车辆然后通过处理进一步分析车辆运动的趋势。-According to the practice of crossroads and
the characteristics of vehicles running red-light, this paper
presents a vision vehicle detection algorithm based on detection
region to detect moving vehicles, and then analysis movement
trend for vehicles by processing. Platform: |
Size: 7773184 |
Author:徐风 |
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Description: There are two main contributions in this paper. The first is to propose a joint random
field (JRF) model that extends CRF by introducing auxiliary latent variables to
characterize visual scene over time and enhance moving object detection in video. The
second is to develop a real-time vehicle detection algorithm for video based traffic
monitoring. The proposed model integrates contextual constraints among both detection
labels and hidden variables during the detection process. Platform: |
Size: 3072 |
Author:dines |
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Description: 计算机视觉是研究用计算机模拟生物外显或宏观视觉功能的科学和技术。作
为计算机视觉研究的一个分支—运动目标的检测与跟踪，就是对视场内的运动目
标，如人或车辆等，进行实时的观测，并在此基础上对被观测对象进行分类，然
后分析它们的行为。近年来，计算机视觉的研究重点已经从对静态图像的研究过
渡到对动态图像序列的研究上面，这方面的典型应用包括自动化的视频监控系
统、视频MPEG编解码技术、人机交互的感知接口、军事上的制导、雷达视频
图像中的目标分析。 -Computer vision research using computer simulations of biological explicit visual function or macro science and technology. As a branch of computer vision research- moving target detection and tracking, that is, within the field of view of the moving target, such as a person or vehicle, real-time observation and classification based on the object being observed, and then analyze them behavior. In recent years, computer vision research focus has been the transition from a static image of the dynamic image sequences above, typical applications include automated video surveillance systems, video MPEG codec technology, the perception of the human-computer interaction interface, military guidance, radar target video image analysis. Platform: |
Size: 5890048 |
Author:土豆 |
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Description: 如何在运动车辆的检测中，去除阴影。方法汇集-How the detection of the moving vehicle, to remove the shadow. Method brings together Platform: |
Size: 4155392 |
Author:杜海波 |
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Description: 研究了自然环境下的运动车辆的检测技术。讨论了各种车流量检测的算法，提出了可对存在渐变及重复性运动的场景进行建模的车流量检测算法，利用基于混合高斯背景建模方法，对背景进行更新，然后再利用所得的背景与当前视频帧进行相减，得到视频中车辆运动的前景图像，经过平滑去噪处理得到较为理想的车辆检测效果。-This paper studies the natural environment of moving vehicles in the testing technology Discussed the algorithm of vehicle detection all kinds of sports, Put forward the existing and repeatability of gradual change of scene modeling movement vehicle detection algorithm is proposed, Based on gauss background modeling method, Update to the background, Then reuse the background and the current income video frame subtracting on, Get the car in the prospect of motion video images, To deal with the noise through smooth get more ideal vehicle detection effect. Platform: |
Size: 71680 |
Author:jinyan |
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Description: 主要用于对运动的车辆的检测，能够获得运动车辆的轮廓，车牌的识别，车的类型-Primarily used for the detection of moving vehicles, it is possible to obtain the contour of the moving vehicle, the license plate recognition, the type of car. . . Platform: |
Size: 2869248 |
Author:李浩东 |
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Description: 本资源是一些光流法相关资料的整合，适合初学光流法的学者们借鉴学习！
智能交通系统运动车辆的光流法检测.caj
基于改进的Lucas_Kanade光流估算模型的运动目标检测.caj
改进的光流法用于车辆识别与跟踪.caj
-The resources are some of the optical flow information integration, optical flow method suitable for beginners to learn from scholars! Intelligent Transportation Systems optical flow motion of the vehicle detected. Caj Lucas_Kanade optical flow based on improved estimation model of moving target detection. Caj improved optical flow method for vehicle identification and tracking. Caj Platform: |
Size: 8590336 |
Author: |
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Description: 在基于前景检测的基于移动物体检测和车辆跟踪算法的实现中，针对广泛的应用来实现读取AVI文件，并将其分解为R，G和B组件。 执行各种操作并检测移动物体。 各个阶段的阈值决定了识别某些尺寸的移动物体的可能性。 移动物体也在其中跟踪。 MATLAB用于实现算法。 该算法用包含120帧的输入avi格式视频文件进行测试。 研究并实现了这些算法的各种应用。(In this foreground detection based moving object detection and vehicle tracking algorithm is implemented targeting a wide class of applications. An AVI file is read and it is decomposed into R, G and B components. Various operations are carried out and the moving objects are detected. Thresholds at various phases are decide the possibility of identifying the moving object of certain sizes. Moving objects also tracked in it. MATLAB is used for implementation of the algorithm. The algorithm is tested with input avi format video files consisting of 120 frames. Various applications of these algorithms are studied and implemented. Main focus is given on (unmanned aerial vehicle) UAV based and automatic traffic estimation applications) Platform: |
Size: 346112 |
Author:夙愿
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Search - moving vehicle detection