Description: 视频交通流检测及车辆识别系统设计,提出设计思想,及实现时的主要算法,和提高检测实时性的具体措施。-video traffic detection and vehicle identification systems design, and design, and implementation of the algorithm, and enhance real-time detection of specific measures. Platform: |
Size: 357376 |
Author:程新平 |
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Description: 本人自己改进过的帧间差分方法,并且调试过,对于学习车辆检测算法的朋友,有些帮助-I own improved interframe difference method, and debugging, the vehicle detection algorithm for learning friends, and some help Platform: |
Size: 1024 |
Author:黄玉 |
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Description: 车辆检测系列一:
基于小波分解的车辆视频检测算法
很不错的小文章-Vehicle Detection Series One: Based on the wavelet decomposition of video vehicle detection algorithm is very good small article Platform: |
Size: 659456 |
Author: |
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Description: 车辆视频检测和号牌识别的电子书籍,详细描述了车辆的检测、分割、识别的算法设计。-Vehicle number plate recognition video detection and electronic books, a detailed description of the vehicle detection, segmentation, identification of the algorithm design. Platform: |
Size: 537600 |
Author:飞辉 |
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Description: 本系统设计以MC68S912DG128微控制器为核心,通过多个红外光电传感器检测模型车的运动位置和运动方向,霍尔传感器检测模型车的速度,运用PWM技术调节驱动电机的转速和舵机的方向,同时用PID控制算法,完成对模型车运动速度和运动方向的闭环控制-Designed to MC68S912DG128 the system microcontroller as the core, through a number of infrared photoelectric sensor detection model sports car position and direction of sports, Hall sensor detection model vehicle speed, the use of PWM technology regulator drive motor speed and the steering gear direction, simultaneously with PID control algorithm, the completion of the model sports car sport speed and direction of the closed-loop control Platform: |
Size: 1530880 |
Author:蒋磊 |
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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: 车辆视频检测,采用高斯背景更新方法,基于OPENCV的图像视频检测算法-Vehicle video detection, the Gaussian background updating method, based on video image detection algorithm OPENCV Platform: |
Size: 4621312 |
Author:小巴 |
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Description: Automatic Vehicle Identification (AVI) has many
applications in traffic systems (highway electronic toll collection, red
light violation enforcement, border and customs checkpoints, etc.).
License Plate Recognition is an effective form of AVI systems. In
this study, a smart and simple algorithm is presented for vehicle’s
license plate recognition system. The proposed algorithm consists of
three major parts: Extraction of plate region, segmentation of
characters and recognition of plate characters. For extracting the
plate region, edge detection algorithms and smearing algorithms are
used. In segmentation part, smearing algorithms, filtering and some
morphological algorithms are used. And finally statistical based
template matching is used for recognition of plate characters. The
performance of the proposed algorithm has been tested on real
images. Based on the experimental results, we noted that our
algorithm shows superior performance in car license plate
recognition Platform: |
Size: 315392 |
Author:Serhat |
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Description: opencv中运用meanshift算法进行车辆检测
人脸识别-opencv in the vehicle detection algorithm using face recognition meanshift Platform: |
Size: 4502528 |
Author:jinglin |
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Description: 夜间车辆检测,改善了算法准确性,及车灯检测效果-Nighttime vehicle detection, improve the accuracy of this algorithm, and the effect of light detection Platform: |
Size: 1750016 |
Author:liao |
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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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