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Description: 一个很不错的blob算法，可以实现对blob图形的track，并显示边缘。
Platform: |
Size: 8197 |
Author: zachary chao |
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Description: 在很多应用中，希望把运动着的物体检测出来，对其编号并进行跟踪，最终得到其运动轨迹，本程序就是运动物体跟踪的框架-In many applications, so that the moving objects detected, their number and track, and ultimately by its trajectory, the process is moving object tracking framework
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Size: 1945600 |
Author: 杨扬 |
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Description: 能够对运动目标实现识别，并进行有效的跟踪。-Able to achieve the identification of moving targets, and effective tracking.
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Size: 27648 |
Author: 鄢胜勇 |
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Description: 运动物体跟踪vc源码 本程序需要opencv库的支持-Moving object tracking vc-source opencv library in this process requires the support of
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Size: 19860480 |
Author: 桂祖恒 |
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Description: 视频监控中的团块跟踪，将跟踪的目标进行提取出运动区域，构造一个包围盒，然后进行跟踪-Video surveillance in mass tracking, the tracking of targets extracted movement region, construct a bounding box, and then track
Platform: |
Size: 17408 |
Author: lily |
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Description: 一个很不错的blob算法，可以实现对blob图形的track，并显示边缘。-A very good blob algorithm, can be achieved on the blob graphics track, and shows the edge.
Platform: |
Size: 8192 |
Author: zachary chao |
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Description: The OpenCV "Video Surveillance" facility, also called "blob tracker" through much of the code, is a simple but practical facility intended to track moving foreground objects against a relatively static background. Conceptually it consists of a three-stage video processing pipeline:
1. A foreground/background discriminator which labels each pixel as either foreground or background.
2. A blob detector which groups adjacent "foreground" pixels into blobs, flood-fill style.
3. A blob tracker which assigns ID numbers to blobs and tracks their motion frame-to-frame. -The OpenCV "Video Surveillance" facility, also called "blob tracker" through much of the code, is a simple but practical facility intended to track moving foreground objects against a relatively static background. Conceptually it consists of a three-stage video processing pipeline:
1. A foreground/background discriminator which labels each pixel as either foreground or background.
2. A blob detector which groups adjacent "foreground" pixels into blobs, flood-fill style.
3. A blob tracker which assigns ID numbers to blobs and tracks their motion frame-to-frame.
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Size: 6922240 |
Author: dams |
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Description: 通过BLOB分析，对连通区域进行分析，加上了自己的一些图像处理，很方便。-it is based on blob analysis, by make analysis of connectivity area, you can track motion object easily.
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Size: 375808 |
Author: yandong |
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Description: 简单的脚本来读取视频文件，并跟踪单个二维红色标记使用的色调和饱和度值。最大的红色斑点检测，平均统筹此Blob位置跟踪。这段代码没有任何跟踪内置的：它把每一帧独立。
这是假设是一个常数的视频帧速率视频。由此产生的协调时间序列存储在变量：吨，结晶度和YC。-Simple script to read a video file and track a single red marker in 2D using the hue and saturation values. The largest red blob is detected and the mean co-ordinate position of this blob is tracked. This code does not have any tracking built-in: it treats each frame independently.
This assumes that the video is a constant frame rate video. The resulting co-ordinate time series are stored in the variables: t, Xc and Yc.
Platform: |
Size: 4096 |
Author: abeaqhax |
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Description: 欢迎视觉革命。在微软的Kinec带领下，您现在可以使用三维计算机视觉技术建立数字化三维模型，人和物体，你可以用手势和语音指令操作。这手势指导，提供所有的技术和概念的信息，你需要为Kinect建立出色应用，使用的加工编程语言和Arduino的微控制器。
无论你是学生，业余爱好者，制造商，玩家，或硬件黑客，Ｔｈｉｎｇｓ Ｓｅｅ让你与几个Kinect的项目运行，给予你用这神奇的三维计算机视觉技术建立你自己的玩意和创意项目的技能和经验。解锁你的能力，建立与Kinect的交互式应用程序。
了解面部识别，步态分析和深度成像
分析和操作点云
用骨架和姿势检测，跟踪检测对象，使用ｂｌｏｃｋ ｔｒａｃｊｉｎｇ 检测物体
使用手势接口作为辅助技术
为设计和制造创建模型，使用三维扫描技术和三维打印机钻研动物和动画的运动跟踪
在这本书中用廉价的现成组件构建书里的每一个项目.-Welcome to the Vision Revolution. With Microsoft’s Kinect leading the way, you can now use 3D computer vision technology to build digital 3D models of people and objects that you can manipulate with gestures and spoken commands. This hands-on guide provides all the technical and conceptual information you need to build cool applications for Kinect, using the Processing programming language and the Arduino microcontroller.
Whether you’re a student, hobbyist, maker, gamer, or hardware hacker, Making Things See gets you running with several Kinect projects, and gives you the skills and experience you need to build your own fun and creative projects with this magical 3D computer vision technology. Unlock your ability to build interactive applications with Kinect.
Learn about face recognition, gait analysis, and depth imaging
Analyze and manipulate point clouds
Track people with skeletonization and pose detection, and use blob tracking to detect objects
Use gestural interfaces f
Platform: |
Size: 12392448 |
Author: hjm |
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Description: This
system consists of human detection, human tracking
and false object detection. The human detection
utilizes the background subtraction to segment the
blob and use codebook to classify human being from
other objects. The optimal design algorithm of the
codebook is proposed. The tracking is performed at
two levels: human classification and individual
tracking .The color histogram of human body is used as the appearance model to track individuals. In order to reduce the false alarm, the algorithms of the false object detection are also provided.
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Size: 6532096 |
Author: ahmed |
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Description: 对视频中的目标通过颜色进行跟踪，并用2D卡尔曼滤波跟踪器重新再次进行跟踪测定。-use color information to track a uniquely colored foreground blob，and also Implement a 2D Kalman filter tracker
Platform: |
Size: 4478976 |
Author: yiminghuang |
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