Description: 用于手势跟踪的c代码，可以用于智能人机交互、手语识别、理解等-gestures for tracking the c code, which can be used intelligent human-computer interaction, sign language recognition, understanding, etc. Platform: |
Size: 435200 |
Author:薛斌 |
Hits:
Description: 路径识别是体现智能车智能水平的一个重要标志，而传感器是智能车进行路径识别的关键检测元件。针对智能车在特殊路径与传感器数目限制的条件下的路径识别，提出了基于红外传感器的路径识别方案与基于图像传感器的路径识别方案，并对两种方案的应用性能进行了比较。通过将基于面阵图像传感器的路径识别方案应用于第一届“飞思卡尔”杯全国智能车竞赛并取得优异成绩，验证了该方案的可行性与有效性。
-Path to identify the smart cars are smart level reflected an important sign, and the sensors are intelligent vehicle path to identify the key components Detect. For the smart car at a special restriction on the number of paths with the sensor under the condition of the path of recognition, based on infrared sensors to identify the path with the path based on the image sensor to identify the program, and application performance, the two plans are compared. By noodle-based image sensor array to identify the path used in the first session of the program " Freescale" Cup National Smart car contests and achieved excellent results, verify the feasibility and effectiveness of the program. Platform: |
Size: 224256 |
Author:张庆龙 |
Hits:
Description: 在复杂背景下面，如何识别交通标志-Traffic sign recognition is a difficult task if we aim at detecting and
recognizing signs in images captured from unfavorable environments. Platform: |
Size: 245760 |
Author:suco7zz |
Hits:
Description: 自适应人体肤色检测中的若干关键技术研究
人体的皮肤颜色是人体的一个重要特征，肤色检测被广泛的应用于人脸跟踪、人脸
检测、手语识别、敏感图像过滤等领域中，具有重要的理论研究意义和实际应用价值。
-Adaptive skin color detection of a number of key technologies in human skin color is an important feature of the human body, skin detection has been widely used in face tracking, face detection, sign language recognition, image filtering and other sensitive areas, have important theoretical significance and practical value. Platform: |
Size: 980992 |
Author:张庆庆 |
Hits:
Description: 交通标志检测与识别，很好用哦，大家下载来看一下，希望会对你们有帮住-Traffic sign detection and recognition, useful Oh, look at everyone to download, hope there will help you live Platform: |
Size: 2095104 |
Author:lin |
Hits:
Description: 路标识别的应用实例，可以快捷的检测并识别路标的种类！-Road sign recognition application example, you can quickly test and identify the types of signs! Platform: |
Size: 1024 |
Author:hu wenguang |
Hits:
Description: 来电检测
入口：无
出口：ringF=1（确认是合法的来电标志）
影响：
调用：延时函数
*/
DATA Byte Ringwait //来铃次数摘机-Detection of entry calls: No exit: ringF = 1 (call sign recognition is legal) implications: call: Delay function*/DATA Byte Ringwait // to the number of hook ring Platform: |
Size: 5120 |
Author:zf |
Hits:
Description: :针对概念设计以及工程草图设计过程中，用户的草绘编样修改行为进行了初步研究，目的在于能够设计出一
套符合用户设计习惯的编裤手势.然后尝试采用基于BP神经网络的方法对其进行识别，以实现计算机对草绘设计行为
的准确理解以及草图的快速编辉修改.实验结果表明，提出的方法具有较高的识别效果，加快了概念草图的设计过程.-In o rderto a ccelerateth ep rocessof sk etche ditingin th est ageo fco nceptualde sign,a se tof na turalan de ficientge stures
for editing sketch are designed, and a robust method based on BP neural network is presented to handle gesture recognition in this
essay. The result of experiments proves the proposed method to be a good recognition performance. Platform: |
Size: 329728 |
Author:Decheng Yu |
Hits:
Description: 图像分割及二值化源码。该程序是交通标识识别的一部分。-Image segmentation and binary code. The traffic sign recognition program is part of. Platform: |
Size: 88064 |
Author:张谷 |
Hits:
Description: 交通标志检测识别资料
①交通标志检测使用的是RGB空间上颜色阈值分析；
②交通标志的识别采用的是灰度直方图来分析相似度。-Traffic sign detection and recognition of data
(1) traffic sign detection is color in the RGB space threshold
② traffic sign recognition using gray level histogram analysis of similarity. Platform: |
Size: 20226048 |
Author:余权 |
Hits:
Description: 本程序能自动识别出禁止驶入标志与禁止车辆临时或长时停放标志，并且用matlab编写了一个界面。首先模板训练，接着导入图片，然后参数训练，最后识别-The program can automatically identify prohibited from entering the flag to vehicular temporary or long when parking signs, and an interface written using matlab. First training template, and then import a picture, then the parameter training last recognition Platform: |
Size: 1405952 |
Author:韩睿 |
Hits:
Description: 复杂场景中的红色交通标志牌检测与识别，结合颜色与圆形的标志牌定位，然后提取特征，最后用模板匹配的方法实现识别，内附图片和程序说明，对初学者有帮助-Red detection and recognition of traffic signs in complex scenes, the combination of colors and circular signs positioning, and feature extraction, the last with template matching methods to achieve recognition, included pictures and a description of the procedures for beginners Platform: |
Size: 58368 |
Author:王慧 |
Hits:
Description: 交通标志识别影像分割，RGB色彩空间中实现影像分割，为后续做准备-Traffic sign recognition, image segmentation, to achieve image segmentation in the RGB color space to prepare for the follow-up Platform: |
Size: 1433600 |
Author:wm |
Hits:
Description: 交通标志识别，对几种常见的交通标志进行简单的检测与识别-Traffic sign recognition, for several common traffic sign detection and recognition of simple Platform: |
Size: 583680 |
Author:gx |
Hits:
Description: This source code for automatic traffic sign detection and recognition.It is very useful in autonomous driverless car design-This is source code for automatic traffic sign detection and recognition.It is very useful in autonomous driverless car design Platform: |
Size: 3780608 |
Author:satya kumar |
Hits:
Description: 项目基于Tensorflow进行实现。
#### 文件说明：
---
* input_data.py: 图片的输入
* traffic_sign_cnn.py: 用cnn进行训练分类
* testDemo.py: 用于测试已经训练出来的模型，输入单个图片输出结果，并分类到文件夹
#### 数据集说明：
---
* 这里是列表文本使用的是比利时的交通标志数据集，可以网上自己找，里面有62个分类。
#### 网络说明：
---
* 这里是列表文本这里是列表文本CNN网络包含两个卷积层，两个全连接层。识别率大概在95% 左右，可以自己根据需要自己修改参数提高识别率
另外，训练开始前需要先在项目目录下新建文件夹./log/train/,用来保存模型参数,数据集的目录结构大概是./data/train/00001（标签）/图片(The project is based on Tensorflow.
#### File Description:
---
* input_data.py: input of the picture
* traffic_sign_cnn.py: Training classification with cnn
* testDemo.py: Used to test the trained model, enter the result of a single image output, and categorize it into a folder
#### Data Set Description:
---
* Here is a list of texts using the Belgian traffic sign data set, which can be found online, with 62 categories.
#### Network Description:
---
* Here is the list text Here is the list text The CNN network consists of two convolutional layers, two fully connected layers. The recognition rate is about 95%, you can modify the parameters by yourself to improve the recognition rate
In addition, before the start of training, you need to create a new folder in the project directory. / Log / train /, used to save the model parameters, the directory structure of the data set is probably ./data/train/00001 (tag) / picture) Platform: |
Size: 430080 |
Author:lionkiss |
Hits:
Search - sign recognition