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物体碰撞检测
- 在三维场景中进行物体之间的碰撞检测，模拟了一个物体从空中自由落体，碰到下面的一个物体被摔成碎片的过程-in 3D scenes between objects for the collision detection, simulation of a free-fall from the sky objects, get the following guests were an object of debris
Senfore_DragDrop_v4.1
- Drag and Drop Component Suite Version 4.1 Field test 5, released 16-dec-2001 ?1997-2001 Angus Johnson & Anders Melander http://www.melander.dk/delphi/dragdrop/ ------------------------------------------- Table of Contents: ----------------------
coldemo.zip
- 本示例程序采用的Visual C++进行开发的，可以检测两个旋转物体的碰撞检测，采用的是包围盒算法。,Procedures used in this example Visual C++ For development, can detect the two rotating object collision detection, using the bounding box algorithm.
yundongmubiaojiance.rar
- 运动目标跟踪算法包括： 1. 静态背景下的背景预测法目标检测 2. 静态背景下帧间差分法目标检测 3. Mean Shift目标跟踪方法 4. 重心多目标跟踪方法 ,Moving Target Tracking Algorithm include: 1. Quiescent in the context of target detection in the context of prediction 2. Static background frame difference metho
avi.rar
- 视频演示算法包括： 1. 静态背景下的背景预测法目标检测 2. 静态背景下帧间差分法目标检测 3. Mean Shift目标跟踪方法 4. 重心多目标跟踪方法 该框架支持的视频只限于RGB非压缩Windows AVI格式，可以通过“文件”菜单下打开视频来打开视频文件。,Video Demo algorithm includes: 1. Static background prediction in the context of target detection 2. The conte
ImageProcessing5
- 图像高斯模糊处理，利用log边缘算子法对图像进行边缘提取，对象进行对角镜处理等-Gaussian blur image processing, the use of log marginal operator on image edge detection, object processing, such as diagonal mirror
ShapeDetection2
- 基于EMGU.CV做的，关于边缘检测的算法。可以准确识别物体的边缘，方便开发。-Based on EMGU.CV done, on the edge detection algorithms. Can accurately identify the edge of an object to facilitate the development.
implementetude
- it a implementation and documente for explaine the basic and algorithme methone in detection an traching object.
__How_to_B15116112112002
- This a software utility. It provides auto attendance management system using face detection technique. Now a day’s many utilities provide face detection system but not intelligent. Our project is more intelligent, cost less and very easy to configure
Faster-RCNN_TF-master (2)
- 机器学习 关于 faster r-cnn 进行object detection(This is an experimental Tensorflow implementation of Faster RCNN - a convnet for object detection with a region proposal network. For details about R-CNN please refer to the paper Faster R-CNN: Towards Real-Tim
vidio object detection
- 用帧差法提取视频中的运动目标（静态背景）(Extracting moving objects in video by frame difference method)
code
- 在Matlab平台下读取avi视频文件，然后进行基于邻帧差法的视频运动目标检测(Avi video files are read under the Matlab platform, and then the moving object detection is carried out based on the adjacent frame difference method .)
real_time_object_detection
- 深度学习 + OpenCV，Python实现实时视频目标检测(We learned how to use deep learning + OpenCV + video stream to perform real-time object detection)
ViolaJones_version0b
- 对象检测，可用于对象追踪，人脸检测等方面。(Object detection can be used in object tracking, face detection and other aspects.)
caffe-cvpr
- 显着区域检测是计算机视觉中长期存在的问题。它旨在找到最能吸引人眼睛注意的图像中的像素或区域。准确和可靠的显着性检测可以从视觉追踪和识别到图形图像处理等众多任务中受益。例如，成功的对象检测算法有助于自动图像分割，更可靠的对象检测，有效的图像缩略和重定位(Significant regional detection is a long-term problem in computer vision. It aims to find the pixels or regions of the most
canny
- python语言实现canny边沿检测 图像边沿检测(canny image object detection)
rcnn.tar
- 物体检测经典算法rcnn的实现，基于caffe平台(Object Detection algorithm RCNN implementation, based on caffe platform)
PLoSONE-BeckEtAl08occlusion_corrected
- Optic flow is an important cue for object detection. Humans are able to perceive objects in a scene using only kinetic boundaries, and can perform the task even when other shape cues are not provided. These kinetic boundaries are characterized by t
基于卡尔曼滤波的运动目标检测，matlab代码
- 基于卡尔曼滤波算法的运动目标检测，做视频车道线检测，动态车辆识别，行人检测的朋友可以参考一下(Based on Calman filter algorithm for moving object detection, do video lane detection, dynamic vehicle recognition, pedestrian detection friend can refer to.)
pytorch-yolo-v3-master
- 物体检测包YOLOV3，Pytorch实现，只需OPENCV和pytorch就可以实现objection detection(Object detection package YOLOV3, Pytorch implementation, only OPENCV and pytorch can achieve objection detection)