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smoke_detection
- 使用VS2010+openCV。本文是基于颜色模型和运动模型对含有烟雾的视频进行烟雾检测的。首先利用RGB颜色模型的方法，检测出烟雾区域以及疑似烟雾区域；接着用背景相减的方法，检测出运动的物体；最后结合两种方法，只检测出运 动的烟雾区域，提取烟雾最大轮廓，绘制矩形框以示意。通过设置R、G、B的参数及阈值，可以得到满意的效果。 -Use VS2010+openCV. This paper is based on the color model and motion model for sm
tform_Lidar
- 激光雷达数据处理，辨别有毒云，校正因为激光雷达数据扫描时造成的极坐标几何扭曲-In this particular application, scanning Lidar equipment is used to detect cross sections of clouds or plumes. The same scan geometry, however, is used in medical ultrasound and other types of imaging.
Vidoevision
- Call AForge.Net, detect motion through the camera, monitor moving objects,
swawuu
- 用于matlab来检测目标物体运动，很小的成语，自己写的，(Matlab is used to detect the motion of a target object, a small idiom, written by himself,)
LeapMotion体感PPT控制器
- LeapMotion体感PPT控制器 Leap Motion概述 Leap Motion系统可以检测并跟踪手、手指和类似手指的工具。这个器件可以在高精确度和高跟踪帧率下工作。 Leap Motion软件分析在器件可视范围内的物体。它识别手、手指和工具，可以实时获(Leap Motion overview The Leap Motion system can detect and track the hands, fingers and tools similar to the
智能小车
- 红外导航的智能小车的上位机界面，能够检测小车正处于前进、后退、左转、右转、或停止中的哪种运动状态，并能通过此上位机界面对小车进行手动控制(The upper computer interface of the intelligent car of infrared navigation can detect which motion state of the car is in the forward, backward, left turn, right turn or stop, and c
opflow
- 成功运行，利用光流法检测出运动视频中的运动目标，并标记出特征点的运动轨迹。(using the optical flow method to detect the moving target in the motion video, and marking the trajectory of the feature point.)
main1E931.96
- E931.96 是一种超低能耗的运动探测控制器集成电路。该器件非常适用于基于电池供电 和使用单片机进行通信处理的无线运动探测传感器。当 E931.96 进行连续动作感应检测时，外部 MCU 可进入休眠状态，当器件检测到运动时，会通过中断唤醒外部的 MCU,中断信号通过一个管脚（INT）的推挽输出来实现。器件的运动检测的标准可编程配置而且还可以通过外部控制器改变的。(-E931.96 is an ultra-low-power motion detection controller IC. Th
帧差法
- 帧差分法实现视频运动的检测，能够标记处检测的轮廓(Frame difference method realizes the detection of video motion, and can detect the outline at the mark.)
KDE
- 根据KDE原理，通过训练集训练，能够检测图片中运动的部分，将运动和静止的部分分别用白色和黑色表示。(KDE principle, motion detection, through training set, can detect the moving part of the picture, the moving part and the static part are expressed in white and black respectively.)