Description: 基于边缘和马儿可夫自由场的车辆跟踪算法,东京大学,2006,algorithm of vehicle tracking based on edge and S-T MRF from university of Tokyo,2006 -Based on Edge and horse free Markov field vehicle tracking algorithm, the University of Tokyo, 2006, algorithm of vehicle tracking based on edge and ST MRF from university of Tokyo, 2006 Platform: |
Size: 566272 |
Author:李鑫 |
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Description: 这是基于mean-shift运动目标跟踪的matlab仿真的程序,含有三个M文件-This is based on the mean-shift moving target tracking matlab simulation program, containing three M documents Platform: |
Size: 3072 |
Author:还非子 |
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Description: 复杂交通场景中运动车辆的检测与轨迹跟踪学习-Complex traffic scene vehicle movement detection and trajectory tracking study Platform: |
Size: 318464 |
Author:zhaow666 |
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Description: Q. Zhou, J.K. Aggarwal. Tracking and Classifying Moving Objects from Video. 这篇文章另辟蹊径,利用“紧凑度值的变化、运动方向的变化”,区分人、人群、机动车。达到良好的分类效果。是运动目标分类领域的好文章。-Q. Zhou, JK Aggarwal. Tracking and Classifying Moving Objects from Video. This article open a new path, by using the " compact value changes, the changes in the direction of sport" , to distinguish between people, groups, motor vehicle. Achieve good classification results. Are the area of target classification exercise good article. Platform: |
Size: 405504 |
Author:brk1985 |
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Description: Zang, Q. and Klette, R. Object Classification and Tracking in Video Surveillance. 这篇文章是有关多运动目标分类的文章。使用常用的长宽比作为分类特征,结合角点特征。提高了人车的分类效果。-Zang, Q. and Klette, R. Object Classification and Tracking in Video Surveillance. This article is about the many objectives of the classification of sports article. The use of commonly used aspect ratio as the classification of features, combining the characteristics of corner. Enhance the effect of vehicle classification. Platform: |
Size: 105472 |
Author:brk1985 |
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Description: 一个书本里面的例子,用于车辆跟踪检测方面的。可以参考-Example of a book which, for vehicle tracking testing. Can refer to Platform: |
Size: 4317184 |
Author:leo |
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Description: 一辆车在前,一车在后,前车匀速,加速,转弯,后车跟踪的matlab程序。-The previous vehicle, a car after the vehicle speed, acceleration, turning, vehicle tracking matlab after the procedure. Platform: |
Size: 35840 |
Author:张斌斌 |
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Description: 基于opencv的车辆跟踪,效果非常好,有对比,环境为VC 6.0 ,一定对你有所帮助-Opencv-based vehicle tracking, the effect of a very good contrast, the environment for VC 6.0, you will certainly be helpful Platform: |
Size: 8627200 |
Author:彭金冬 |
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Description: 基于MO的车载跟踪显示程序,将车台信息在MO的TRACKINGLAYER中显示-MO-based vehicle tracking showed that the procedure will be cars in the MO of Taiwan' s information display TRACKINGLAYER Platform: |
Size: 37888 |
Author:扈海波 |
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Description: 源程序实现的是基于卡尔曼滤波的车辆检测与跟踪,并对车辆进行计数编号。-Source implementation is based on Kalman filtering vehicle detection and tracking, and count the number of vehicles. Platform: |
Size: 4932608 |
Author:chenying |
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Description: MATLAB的M语言编写,用于解决机器追踪的问题。机器状态估计由minimax滤波器完成。-This m-file simulates a vehicle tracking problem.The vehicle state is estimated with a minimax filter.In addition,with the a priori knowledge that the vehicle is on
a particular road, the vehicle state is estimated with a
constrained minimax filter.
Platform: |
Size: 2048 |
Author:李健 |
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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: 基于激光雷达和可见光的数据融合的车辆识别(Vehicle recognition based on data fusion of laser radar and visible light) Platform: |
Size: 48318464 |
Author:Lightness |
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