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[Special Effectsaambuilding-0.1-src-jiapei

Description: 这是一个用于人脸跟踪算法,采用OPENCV实现。可广泛应用视频监控等领域。-This is a face tracking algorithm for use OPENCV achieve. Can be widely applied in areas such as video surveillance.
Platform: | Size: 54272 | Author: 李乔 | Hits:

[Industry researchTracking_and_Object_Classification_for_Automated_S

Description: O.Javed and M.Shah. 《Tracking and object classification for automated surveillance》. 这篇英文文献是有关运动目标检测跟踪及其分类的文章。该文利用“人体运动的周期性”,把运动目标分为人、人群、机动车。具有较强的参考价值。-O. Javed and M. Shah. " Tracking and object classification for automated surveillance" . This is about the English literature to track moving target detection and classification of the article. The use of " the cyclical nature of human motion" , the goal of exercise is divided into people, people, motor vehicles. Has a strong reference value.
Platform: | Size: 1049600 | Author: brk1985 | Hits:

[Software Engineeringfor_tracking

Description: OpenCV and TYZX: Video Surveillance for Tracking
Platform: | Size: 548864 | Author: humanbeing | Hits:

[AI-NN-PRCtrax-matlab-0.1.04

Description: 果蝇跟踪方法,计算机视觉,版,visual surveillance opencv-opencv fly tracking,visual surveillance
Platform: | Size: 260096 | Author: yu | Hits:

[Special Effectscvlib_mex

Description: 该文件用于在matlab环境中直接使用OpenCV库的函数,方便使用matlab的研究者在开展视觉目标检测、视觉目标跟踪、视觉智能监控,以及其它计算机视觉应用等的工作中调用OpenCV提供的函数。在使用时,只需要把该文件放于matlab的工作目录下即可。-With this code, various computer vision functions provided by OpenCV can be used in Matlab environment. Matlab users in the field of computer vision can apply this code to visual object detection, visual object tracking, visual intelligent surveillance, and many other computer vision related researches. In practice, this code needs to be put into the working path of Matlab.
Platform: | Size: 26624 | Author: 朱亮亮 | Hits:

[OpenCVblobtrack

Description: 基于OpenCV的智能视频监控设计!!汽车跟踪,流量统计-OpenCV-based intelligent video surveillance design! ! Vehicle tracking, traffic statistics! !
Platform: | Size: 2836480 | Author: lgh | Hits:

[Software EngineeringOpenCV-VIDEO-DETCTION

Description: 计算机视觉是研究用计算机模拟生物外显或宏观视觉功能的科学和技术。作 为计算机视觉研究的一个分支—运动目标的检测与跟踪,就是对视场内的运动目 标,如人或车辆等,进行实时的观测,并在此基础上对被观测对象进行分类,然 后分析它们的行为。近年来,计算机视觉的研究重点已经从对静态图像的研究过 渡到对动态图像序列的研究上面,这方面的典型应用包括自动化的视频监控系 统、视频MPEG编解码技术、人机交互的感知接口、军事上的制导、雷达视频 图像中的目标分析。 -Computer vision research using computer simulations of biological explicit visual function or macro science and technology. As a branch of computer vision research- moving target detection and tracking, that is, within the field of view of the moving target, such as a person or vehicle, real-time observation and classification based on the object being observed, and then analyze them behavior. In recent years, computer vision research focus has been the transition from a static image of the dynamic image sequences above, typical applications include automated video surveillance systems, video MPEG codec technology, the perception of the human-computer interaction interface, military guidance, radar target video image analysis.
Platform: | Size: 5890048 | Author: 土豆 | Hits:

[DSP program99262861DSP-C6000-DM642DEMO

Description: Opencv移植到DSP的代码,主要功能是视频监控,智能监控运动目标跟踪-Opencv transplant to the DSP code, the main function is to video surveillance, intelligent monitoring moving target tracking
Platform: | Size: 16259072 | Author: chenguichun | Hits:

[Special EffectsKalman-filter-algorithm-with-OpenCV

Description: 基于OPENCV再结合kalman滤波对监控视频进行目标跟踪。-OPENCV combined kalman filtering based on surveillance video for target tracking.
Platform: | Size: 6144 | Author: fangqimin | Hits:

[OpenCVOpenCV_By_Example(中文版)

Description: 该资料中包含了《OpenCV By Example》中文版以及例程程序,该书的目录如下所示: 第1章 OpenCV的探险之旅; 第2章 OpenCV基础知识介绍; 第3章 图形用户界面和基本滤波; 第4章 深入研究直方图和滤波器; 第5章 自动光学检测、目标分割和检测; 第6章 学习目标分类; 第7章 识别人脸部分并覆盖面具; 第8章 视频监控、背景建模和形态学操作; 第9章 学习对象跟踪; 第10章 文本识别中的分割算法; 第11章 使用Tesseract识别文本;(The archive contains the Chinese version of "OpenCV By Example" and the example program. The contents of this book are as follows: Chapter 1 An expedition to OpenCV; Chapter 2 OpenCV basic knowledge introduction; Chapter 3 Graphical user interface and basic filtering; Chapter 4 In-depth study of histogram and filter; Chapter 5 Automatic optical detection, object segmentation and detection; Chapter 6 Learning object classification; Chapter 7 Identify the face part and cover the mask. Chapter 8 Video surveillance, background modeling and morphological operation. Chapter 9 Learning object tracking; Chapter 10 The segmentation algorithm in text recognition; Chapter 11 Using Tesseract to identify the text;)
Platform: | Size: 66423808 | Author: flypig1994 | Hits:

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