搜索资源列表
KinectZuobiao
- kinect 人体骨骼数据获取 是调用API函数获取骨骼数据 准确标定人体的20个关键点信息 对20个点实时跟踪-kinect human skeleton data acquisition is calling the API function to get the accurate calibration of the body' s skeletal data critical point information 20 points on 20 real-time tracking
FeatureTracker
- 基于光流法的人脸追踪 先通过opencv的类haar特征检测人脸 然后用光流法筛选特征点并追踪-Optical flow method based face tracking to pass the class haar feature detection opencv face then light flow filter and track feature points
TINDEM
- 基于VC将数字摄影测量生产中的三个关键步骤（离散点生成TIN，TIN生成DEM，DEM等高线跟踪）的相关算法进行程序实现并集成。文件夹中包含对应三个步骤的数据文件，可直接编译运行。-(Generation of discrete points TIN, TIN generation DEM, DEM contour tracking) based VC digital photogrammetry three key steps in the production of relevant alg
m10
- 背景建模是实现运动目标检测与跟踪的关键技术之一。在实时视频监控系统中，对背景建模算法的运行时间及所提取出的背景图像的实时性有很高的要求，针对这一问题，提出了一种基于切比雪夫不等式的自适应阈值背景建模算法。算法利用切比雪夫不等式计算像素点色度变化的概率估计值，提出了一种自适应阈值分类方法，它将像素点快速分类为前景点、背景点及可疑点，再利用核密度估计方法对可疑点进行进一步分类，最后利用背景更新算法提取实时背景图像。实验结果证明，该算法能快速有效地区分特征明显的背景点与前景点，提高了背景图像提取的速
harris
- 使用特征点来代表图像的内容，运动目标跟踪，物体识别，图像配准，全景图像拼接，三维重建-The use of feature points to represent the content of the image, moving object tracking, object recognition, image registration, image mosaics, 3D reconstruction
segmentor
- 读取视频序列，处理视频帧，写入视频序列，跟踪特征点，提取前景物体-Reads the video sequence, processing a video frame written in the video sequence, the tracking feature points extracted foreground object
PDAF_01
- This code is a short demo of tracking multiple moving points in clutter and noise.
419-Mahdi
- This paper presents an improved maximum power point tracking (MPPT) algorithm of a PV system under real climatic conditions. The proposed MPPT is based on the perturbation and observation (P&O) strategy and the variable step method that contr
DetectMTInDB
- vs2010下两张图片之间、进行sift匹配，角点LK金字塔光流跟踪，surf匹配。有绘制特征点主方向和辅助方向。具体仔细看代码。-vs2010 down between two pictures, make sift matching corner pyramid LK optical flow tracking, surf match. Have drawn the main direction of the feature points and the auxiliary directio
my_camera
- 使用vision.cascadeobjectdetector检测视频帧中的人眼的位置。检测器使用提琴琼斯检测算法和检测训练分类模型。人脸跟踪使用KLT算法.能够减少人头倾斜造成的影响,只有第一次检测人眼，以后都是检测特征点，运算速度快。-Use vision.cascadeobjectdetector detects video frames eye position. The detector uses a detection algorithm Tiqinqiongsi classifica
OpticalFlow
- 运用光流法的来对运动物体进行跟踪，输出特征点的位置和变化情况。-Using the optical flow method for moving object tracking, and output the position of the feature points and changes.
TLD
- 本程序是在vs2010+opencv的平台上运行的，利用的是opencv2.4.9，C++写的，该算法与传统跟踪算法的显著区别在于将传统的跟踪算法和传统的检测算法相结合来解决被跟踪目标在被跟踪过程中发生的形变、部分遮挡等问题。同时，通过一种改进的在线学习机制不断更新跟踪模块的“显著特征点”和检测模块的目标模型及相关参数，从而使得跟踪效果更加稳定、鲁棒、可靠。最后的得到的效果令人满意。-This program is run on a platform vs2010+opencv, the use
matlab
- 基于meanshift的单目标跟踪算法实现 说明： 1. RGB颜色空间刨分，采用16*16*16的直方图 2. 目标模型和候选模型的概率密度计算公式参照上文-Meanshift based single target tracking algorithm Descr iption: 1. RGB color space plane points, using a histogram 2. Probability density target model and the candid
opencv
- 基于meanshift的单目标跟踪算法实现 说明： 1. RGB颜色空间刨分，采用16*16*16的直方图 2. 目标模型和候选模型的概率密度计算公式参照上文 3. opencv版本运行：按P停止，截取目标，再按P，进行单目标跟踪-Meanshift based single target tracking algorithm Descr iption: 1. RGB color space plane points, using a histogram 16* 16* 16 2
snake_demo
- 目标轮廓跟踪的Snake算法，带有demo接口。打开图片，选择初始轮廓点，运行跟踪算法即可得到精确的目标轮廓。-The snake contour detection algorithm with demo interface. Open the input picture, some initial points,then the contour tracking algorithm will return a good contour.
vehicle_detection_haarcascades
- 基于harr特征点的车辆跟踪，光照影响不大，鲁棒性还可以，供大家学习-Harr feature points based vehicle tracking, little light on the robustness can be, for everybody to learn
serial-1
- The flexible photovoltaic (PV) modules have the advantage of easily fitting on curved surfaces, but in that case their power–voltage characteristic exhibits localmaximum power points (MPPs) where the PV module power production is suboptimal.
calib_r98
- Camera calibration toolbox for matlab, using arbitrary 3D points, with support to non linear distortions and planar calibration objects. Also contains utility functions, such as marker tracking.
Shop7zwsgwxt_v4.9
- Shop7z网上购物系统集大气超美观页面+商品组合套餐+限时抢购秒杀+手机版+在线支付+新订单邮件自动通知+图片批量上传+淘宝数据包导入+弹出式分类菜单+不同规格不同价格+物流跟踪打印查询+会员积分及优惠券+邮件群发+图片在线管理+销售统计报表+五种价格体系+礼品礼券等等强大功能于一体，是企业或个人网上开店的最佳商城平台。-Shop7z online shopping system set the atmosphere super beautiful page+ Assortment Packa
ECDL2011_0962
- 影像視覺追蹤與定位技術可用於擴增實境之應用，依使用標記與否，可分為標記與無標記兩類技術。標記識別技術較為簡單，且較為成熟，但受限於需使用特殊之標記。無標記識別技術使用一般自然物件來取代特殊標記，應用較為彈性，但必須能正確擷取出欲辨識物件有用之特徵點。現有擴增實境之開發函式庫或開發平台，主要目的為提供擴增實境之應用開發，不提供無標記擴增實境技術研究方法之驗證。故本文深入研究探討如何整合ARToolKit、OpenCV與OpenGL等函式庫，設計無標記擴增實境整合平台。且此平台各項功能採用模組化設計