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[Special Effects] visualtracker DL : 0: Video Tracker Version 0.0.1 \"Visual tracking and recognition using appearance-adaptive models in particle filters\" (IEEE transactions on Image Processing, Nov 2004) by Shaohua Zhou, Rama Chellappa and Baback Moghaddam. -Video Tracker Version 0.0.1 "Visual track ing and recognition using appearance-adaptiv e models in particle filters "(IEEE transactio ns on Image Processing, Nov 2004) by Zhou Shaohua. Rama Chellappa and Baback Moghaddam.
Update : 2008-10-13 Size : 3.41mb Publisher : 薛斌
[GDI-Bitmap] mean_shift DL : 0: mean shift的源代码，用于学习 Bilkent University: Mean-shift Tracker based Moving Object Tracker in Video Version: 1.0 Compiler: Microsoft Visual C++ 6.0 (tested in both debug and release mode) -mean shift in the source code, for learning Bilkent University : Mean-shift Tracker based Moving Object Tracke r in Video Version : 1.0 Compiler : Microsoft Visual C 6.0 (tested in both debug and release mode)
Update : 2008-10-13 Size : 27.21kb Publisher : zhaopeng
[File Operate] ParticleFilterTrackerwithIsomap DL : 0: We propose a novel approach for head tracking, which combines particle filters with Isomap. The particle filter works on the low-dimensional embedding of training images. It indexes into the Isomap with its state variables to find the closest template for each particle. The most weighted particle approximates the location of head. We develop a synthetic video sequence to test our technique. The results we get show that the tracker tracks the head which changes position, poses and lighting conditions.
Update : 2008-10-13 Size : 171.88kb Publisher : 阳关
[AI-NN-PR] TrackEye_src.zip DL : 2: 一个由zafersavas于2008年完成的完全基于VC++6实现的人脸检测和人眼跟踪程序，通过设置相应的参数实现不同的功能。人脸跟踪中使用了camshift算法和Haar算法，眼睛检测中使用了自适应PCA算法和模板匹配算法，还支持文件和网络摄像头两种输入方式，经过试验，检测速度比较快和准确度也比较高。附带demo程序。使用步骤：菜单TrackEye Menu --> Tracker Settings 输入源Input Source: video 选择文件输入指定为： ..\Avis\Sample.avi 人脸检测算法（Face Detection Algorithm）: Haar Face Detection Algorithm 选中 “Track also Eyes” checkBox 眼睛检测算法（Eye Detection Algorithm）: Adaptive PCA 取消选择 “Variance Check” Number of Database Images: 8 Number of EigenEyes: 5 Maximum allowable distance from eyespace: 1200 Face width/eye template width ratio: 0.3 ColorSpace type to use during PCA: CV_RGB2GRAY 瞳孔检测设置（Settings for Pupil Detection） Check “Track eyes in details” and then check “Detect also eye pupils”. Click “Adjust Parameters” button: Enter “120” as the “Threshold Value” Click “Save Settings” and then click “Close” Settings for Snake Check “Indicate eye boundary using active snakes”. Click “Settings for snake” button: Select ColorSpace to use: CV_RGB2GRAY Select Simple thresholding and enter 100 as the “Threshold value” Click “Save Settings” and then click “Close”
Update : 2012-04-13 Size : 199.24kb Publisher : sichuanlu
[Special Effects] video_tracker DL : 0: 国外著名大学编写的利用粒子滤波器的目标跟踪算法（particle fitler visual tracking）-famous prepared by the University of particle filter target tracking algorithms (particle fitl er visual tracking)
Update : 2025-02-19 Size : 4.3mb Publisher : 言研
[Special Effects] visualtracker DL : 0: Video Tracker Version 0.0.1 "Visual tracking and recognition using appearance-adaptive models in particle filters" (IEEE transactions on Image Processing, Nov 2004) by Shaohua Zhou, Rama Chellappa and Baback Moghaddam. -Video Tracker Version 0.0.1 "Visual track ing and recognition using appearance-adaptiv e models in particle filters "(IEEE transactio ns on Image Processing, Nov 2004) by Zhou Shaohua. Rama Chellappa and Baback Moghaddam.
Update : 2025-02-19 Size : 3.41mb Publisher : 薛斌
[GDI-Bitmap] mean_shift DL : 0: mean shift的源代码，用于学习 Bilkent University: Mean-shift Tracker based Moving Object Tracker in Video Version: 1.0 Compiler: Microsoft Visual C++ 6.0 (tested in both debug and release mode) -mean shift in the source code, for learning Bilkent University : Mean-shift Tracker based Moving Object Tracke r in Video Version : 1.0 Compiler : Microsoft Visual C 6.0 (tested in both debug and release mode)
Update : 2025-02-19 Size : 27kb Publisher : zhaopeng
[File Format] ParticleFilterTrackerwithIsomap DL : 0: We propose a novel approach for head tracking, which combines particle filters with Isomap. The particle filter works on the low-dimensional embedding of training images. It indexes into the Isomap with its state variables to find the closest template for each particle. The most weighted particle approximates the location of head. We develop a synthetic video sequence to test our technique. The results we get show that the tracker tracks the head which changes position, poses and lighting conditions. -We propose a novel approach for head tracking, which combines particle filters with Isomap. The particle filter works on the low-dimensional embedding of training images. It indexes into the Isomap with its state variables to find the closest template for each particle. The most weighted particle approximates the location of head. We develop a synthetic video sequence to test our technique. The results we get show that the tracker tracks the head which changes position, poses and lighting conditions.
Update : 2025-02-19 Size : 172kb Publisher : 阳关
[Special Effects] blobs_src DL : 0: Real-Time Object Tracker in C++. tracking moving or static objects with conventional web cam at far bigger than real-time speed.-Real-Time Object Tracker in C++. Tracking moving or static objects with conventional web cam at far bigger than real-time speed.
Update : 2025-02-19 Size : 104kb Publisher : 阿斗
[AI-NN-PR] pf_colortracker DL : 0: 基于粒子滤波的特定颜色目标跟踪算法C源程序,带Matlab接口和演示的视频数据. -C Source Code for Partical fielter based Color tracker, with Matlab interface and Video Demo.
Update : 2025-02-19 Size : 12.58mb Publisher : 陈升
[Multimedia program] Adaboost-Tracking DL : 0: Video tracking using Adaboost algorithm for auto-updating of the weak classifiers. The object has to be defined by the user (no auto-recogntion). The tracker works for every type of object (no prior assumptions are taken to object size or form).
Update : 2025-02-19 Size : 14kb Publisher : yosko
[Industry research] robotvision DL : 0: This the program for a red ball tracker robot.Here a web cam is interfaced to a computer,the computer takes images by means of the web cam and processes the images to see if there is a red ball.If a red ball is detected then the computer sends the appropriate control signals to the robot to move in the direction of the red ball.the video of the model is provided here http://www.youtube.com/watch?v=GGxDiyEr9DQ-This is the program for a red ball tracker robot.Here a web cam is interfaced to a computer,the computer takes images by means of the web cam and processes the images to see if there is a red ball.If a red ball is detected then the computer sends the appropriate control signals to the robot to move in the direction of the red ball.the video of the model is provided here http://www.youtube.com/watch?v=GGxDiyEr9DQ
Update : 2025-02-19 Size : 1kb Publisher : Subhaiit
[Video Capture] LaserFollowingCamera DL : 1: object tracker laser
Update : 2025-02-19 Size : 476kb Publisher : mohamed
[OpenCV] video-tracker DL : 0: Tracking system. Visual studio and opencv.
Update : 2025-02-19 Size : 6.33mb Publisher : Flavio
[Software Engineering] Video_detection DL : 0: Video object Tracker
Update : 2025-02-19 Size : 112kb Publisher : sachin
[Software Engineering] blobTrack_projet_initial_openCV DL : 0: 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.
Update : 2025-02-19 Size : 6.6mb Publisher : dams
[Software Engineering] wittenhagen2008a DL : 0: 《DragonEye Fast Object Tracking and Camera Motion Estimation》DragonEye是一个基于目标直接浏览的视频播放系统。比Dimp和Dragon来说具有实时性-Recently, multiple research groups proposed the concept of direct manipulation, which makes the task of navigation in videos directly related to content of the video. However, the developed systems are still too slow for a broad application of the technique. To increase the accessibility of direct manipulation a system has to fulfill certain requirements: • Computation times have to be so small that the system can work in situation with time constraints. • The system has to accommodate for the user’s greater comprehension of a scene. This includes camera motion, fore- and background, and occlusions. Based on the requirements, we developed and implemented the DRAGONEYE system. The tracker employs point tracking, with points provided by SIFT [Lowe, 2004], and color tracking with the CAMShift algorithm [Comaniciu et al., 2003]. A model of the tracked object is built and continuously updated to fit the current conditions. This model allows the detection and recover
Update : 2025-02-19 Size : 37.11mb Publisher : 童癸
[Special Effects] a-mean-shift-tracker-implementations_in_cPP_and_h DL : 0: It is useful to developer who ieterest with detecting object in video surveillance system
Update : 2025-02-19 Size : 261kb Publisher : wefwef
[matlab] tracker-code DL : 0: people tracking after performing background subtraction and blobs detection use for video suvelliance
Update : 2025-02-19 Size : 110kb Publisher : honey
[OpenCV] tracker-1 DL : 0: 基于OpenCV实现的目标跟踪程序，用于实现在视频中跟踪选定目标。-Based on OpenCV achieve target tracking program for realization in the video track selected targets.
Update : 2025-02-19 Size : 5kb Publisher : roy

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