搜索资源列表
motiondetect
- 本程序是基于VC++和opencv开发的视频入侵检测预警程序，在目标进入危险区域，提示警示语-This procedure is based on VC++ and opencv video intrusion detection development of early warning procedures, the goal of entering the hazardous area, prompted warnings
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- 智能交通系统中基于视频图像处理的车辆检测与跟踪方法综述-Intelligent transportation systems based on video image processing of vehicle detection and tracking methods were reviewed
Motion-Detection
- 智能交通系统中的视频中的行走人体的检测与跟踪，-Motion detection and human body tracking
MotionPDetection
- 运动目标检测与跟踪的matlab代码，包含实验数据，代码解释。有助于行人检测，智能交通，视频监控等领域的研究。-Moving target detection and tracking matlab code, contains the experimental data, code interpreter. To help pedestrian detection, intelligent transportation, video surveillance, and other areas
Automatic-People-Counting-
- 提出了智能视频监控中基于机器学习的自动人数统计系统。。该系统通过机器学习的方法对视频序列中人的头肩部位进行准确地检测。克服了传统检测方法如连通域分析和简单模板匹配的不足。-Automatic people counting system based on machine learning in intelligent video surveillance. . The system through machine learning methods to accurately detect the
Vehicle-License-Plate-Recognition-
- 车牌识别技术(Vehicle License Plate Recognition，VLPR) 是指能够检测到受监控路面的车辆并自动提取车辆牌照信息（含汉字字符、英文字母、阿拉伯数字及号牌颜色）进行处理的技术。车牌识别是现代智能交通系统中的重要组成部分之一，应用十分广泛。它以数字图像处理、模式识别、计算机视觉等技术为基础，对摄像机所拍摄的车辆图像或者视频序列进行分析，得到每一辆汽车唯一的车牌号码，从而完成识别过程。通过一些后续处理手段可以实现停车场收费管理，交通流量控制指标测量，车辆定位，汽车防盗
DLTcode
- 针对图片或视频数据的眼睛区域的检测，以及眨眼的检测确定人脸区域的程序。 份关于智能图像增强的美国专利，对图像处理感兴趣的朋友可以看一下。-Tracking learning
DeepLearnToolbox_CNN_lzbV2.0
- DeepLearnToolbox_CNN_lzbV2.0 深度学习,卷积神经网络,Matlab工具箱 参考文献: [1] Notes on Convolutional Neural Networks. Jake Bouvrie. 2006 [2] Gradient-Based Learning Applied to Document Recognition. Yann LeCun. 1998 [3] https://github.com/rasmusberg
kuitou
- 是小学期课程设计的题目，实现了图像的灰度化并进一步用于视频监视控，使用matlab实现智能预测控制算法。- Is the topic of the elementary school stage curriculum design, Achieve a grayscale image and further control for video surveillance, Use matlab intelligent predictive control algorithm.
zhixian_Untitled
- 本程序可以有效地解决在智能车辆运行过程中对道路中心线的有效识别，通过视频图像分割，二值化，边缘检测，hough变换最后得到。-This procedure can effectively solve the intelligent vehicle is running efficiently identify the centerline of the road, through a video image segmentation, binarization, edge detection,
MultiAgent-Flocking-framework-master
- 多智能体蜂拥模型，可选择不同的期望间隔，并录有仿真视频(The multi-agent swarm model can select different expectation intervals and record simulation videos.)