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Description: GSNAKE API provides tools for contour modeling, extraction, detection and classification, based on generalized active contour model (g-snake). GSNAKE consists of a set of objects built in C++, suitable for use in the area of feature extraction, character recognition, motion analysis and etc.-GSNAKE API provides tools for contour mode ling, extraction, detection and classification, based on generalized active contour model (g-s nake). GSNAKE consists of a set of objects built in C, suitable for use in the area of feature extracti on, character recognition, motion analysis and etc..
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Author: 妙飞 |
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Description: 图像/视频处理程序，运行命令：java Video processor
Canny edge, Gabor texture feature 输入为彩色或灰度图；motion estimation 输入为QCIF序列；the shape processing 输入为二值图像-image/video processing procedures, execute commands : java Video processor Canny edge, Gabor texture feature input color or gray-scale map; motion estimation input QCIF sequence; the shape of two processing input image
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Author: SQ |
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Description: The problem of image registration subsumes a number of problems and techniques in multiframe
image analysis, including the computation of optic flow (general pixel-based motion), stereo
correspondence, structure from motion, and feature tracking. We present a new registration
algorithm based on spline representations of the displacement field which can be specialized to
solve all of the above mentioned problems. In particular, we show how to compute local flow,
global (parametric) flow, rigid flow resulting from camera egomotion, and multiframe versions of
the above problems. Using a spline-based description of the flow removes the need for overlapping
correlation windows, and produces an explicit measure of the correlation between adjacent flow
estimates. We demonstrate our algorithm on multiframe image registration and the recovery of 3D
projective scene geometry. We also provide results on a number of standard motion sequences.
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Author: 刘长乐 |
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Description: 基于特征点检测匹配的运动补偿方法，然后通过补偿的差分图像法来检测移动平台下的运动目标-Based on feature point detection method of matching motion compensation, and then through the compensation differential image method to detect the mobile platform under the moving target
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Author: 郭江 |
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Description: A new approach toward target representation and localization, the central component in visual tracking
of non-rigid objects, is proposed. The feature histogram based target representations are regularized
by spatial masking with an isotropic kernel. The masking induces spatially-smooth similarity functions
suitable for gradient-based optimization, hence, the target localization problem can be formulated using
the basin of attraction of the local maxima. We employ a metric derived from the Bhattacharyya
coefficient as similarity measure, and use the mean shift procedure to perform the optimization. In the
presented tracking examples the new method successfully coped with camera motion, partial occlusions,
clutter, and target scale variations. Integration with motion filters and data association techniques is also
discussed. We describe only few of the potential applications: exploitation of background information,
Kalman tracking using motion models, and face tracking.-A new approach toward target representation and localization, the central component in visual trackingof non-rigid objects, is proposed. The feature histogram based target representations are regularizedby spatial masking with an isotropic kernel. The masking induces spatially-smooth similarity functionssuitable for gradient-based optimization, hence, the target localization problem can be formulated usingthe basin of attraction of the local maxima. We employ a metric derived from the Bhattacharyyacoefficient as similarity measure, and use the mean shift procedure to perform the optimization. In thepresented tracking examples the new method successfully coped with camera motion, partial occlusions, clutter, and target scale variations. Integration with motion filters and data association techniques is alsodiscussed. We describe only few of the potential applications: exploitation of background information, Kalman tracking using motion models, and face tracking .
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Description: 《Visual C++数字图像获取 处理及实践应用》配套源程序
本书全面系统地讨论了数字图像处理的理论、设计及应用。全书由自成体系而又互有联系的12章组成，分别讨论了位图及图像类的概念、图像获取、图像增强、图像复原、正交变换、压缩编码、图像配准、运动检测、特征提取、图像分割及识别的相关知识，基本涵概了从图像获取到图像处理的各个领域，并结合Microsoft公司面向对象的可视化集成编程系统Visual C++，给出了相应的算法和完整的源代码。- Visual C++ Digital image acquisition processing and practical application of complementary source book comprehensive and systematic discussion of the theory of digital image processing, design and application. Book by the self-and inter-linked to the composition of Chapter 12, respectively, discussed the types of digital maps and images of the concept, image acquisition, image enhancement, image restoration, orthogonal transform, compression, image registration, motion detection, feature extraction, image segmentation and identification of related knowledge, basic robust from the image acquisition to image processing in various fields and, in conjunction with Microsoft Corporation Visual object-oriented programming system integrated Visual C++, the corresponding algorithms and the complete source code.
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Author: ss |
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Description: GSNAKE API provides tools for contour modeling, extraction, detection and classification, based on generalized active contour model (g-snake). GSNAKE consists of a set of objects built in C++, suitable for use in the area of feature extraction, character recognition, motion analysis and etc.
-GSNAKE API provides tools for contour modeling, extraction, detection and classification, based on generalized active contour model (g-snake). GSNAKE consists of a set of objects built in C++, Suitable for use in the area of feature extraction, character recognition, motion analysis and etc.
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Size: 2981888 |
Author: wzq |
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Description: Lucas-Kanader-Tomasi Feature Tracker，由运动恢复结构的问题，目的是从一组由摄像机移动获得的图像来恢复一个场景的立体结构。对于这个问题，C.Tomasi和T.Kanade[1]于1992年提出了一种Factorization的方法，可以有效地避免噪声的干扰，同时不会受限于特定的运动模型，例如单纯的平移或是旋转。-Lucas-Kanader-Tomasi Feature Tracker, by the movement to restore the structure of the problem, aimed at a group of mobile access by the camera image to restore the three-dimensional structure of a scene. For this problem, C. Tomasi and T. Kanade [1] in 1992 proposed a factorization method which can effectively avoid noise interference, while not restricted to a particular motion model, such as pure translation or rotation .
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Author: 梁霄 |
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Description: 在视频服务器中，一个重要的功能是实现移动侦测和录像功能。本源码中实现了多线程、多路视频的视频移动侦测。-In Digital Video Recording [DVR] System, one most important feature is the Video Motion Detection. Most DVR is consisted by multi video capture cards. The card number sometime will be up to 16. In order to make the system working more effectively and quickly, the best way is using Multi Thread method and each thread cooperate with one video capture card. In this way, system can monitor up 16 video motion alarm and not reduce the system performance.
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Author: wayle |
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Description: Recovering 3-D structure from motion in noisy 2-D images is a problem addressed by many vision system researchers. By consistently tracking feature points of interest across multiple images using a methodology first described by Lucas-Kanade, a 3-D shape of the scene can be reconstructed using these features points using the factorization method developed by Tomasi-Kanade.
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Author: Stephen Bishop |
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Description: This library implements the KLT Tracking algorithm [2004] for Feature Tracking in Video useful in computer vision tasks like object recognition, image indexing, tracking and structure from motion. This implementation uses programmable Graphics Hardware to achieve considerable speedup in the running time of the GPU-based implementation.
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Size: 49152 |
Author: Alex |
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Description: This library implements the KLT Tracking algorithm [2004] for Feature Tracking in Video useful in computer vision tasks like object recognition, image indexing, tracking and structure from motion. This implementation uses programmable Graphics Hardware to achieve considerable speedup in the running time of the GPU-based implementation.
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Author: Alex |
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Description: sba, a C/C++ package for generic sparse bundle adjustment is almost invariably used as the last step of every feature-based multiple view reconstruction vision algorithm to obtain optimal 3D structure and motion (i.e. camera matrix) parameter estimates. Provided with initial estimates, BA simultaneously refines motion and structure by minimizing the reprojection error between the observed and predicted image points.
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Author: picab |
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Description: This paper proposes a new method of extracting and tracking
a nonrigid object moving while allowing camera movement. For object
extraction we first detect an object using watershed segmentation
technique and then extract its contour points by approximating the
boundary using the idea of feature point weighting. For object tracking
we take the contour to estimate its motion in the next frame by the
maximum likelihood method. The position of the object is estimated using
a probabilistic Hausdorff measurement while the shape variation is
modelled using a modified active contour model. The proposed method is
highly tolerant to occlusion. Because the tracking result is stable unless
an object is fully occluded during tracking, the proposed method can be
applied to various applications.
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Author: sacoura31 |
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Description: A new approach toward target representation and localization, the central component in visual tracking of nonrigid objects,
is proposed. The feature histogram-based target representations are regularized by spatial masking with an isotropic kernel. The
masking induces spatially-smooth similarity functions suitable for gradient-based optimization, hence, the target localization problem
can be formulated using the basin of attraction of the local maxima. We employ a metric derived from the Bhattacharyya coefficient as
similarity measure, and use the mean shift procedure to perform the optimization. In the presented tracking examples, the new method
successfully coped with camera motion, partial occlusions, clutter, and target scale variations. Integration with motion filters and data
association techniques is also discussed. We describe only a few of the potential applications: exploitation of background information,
Kalman tracking using motion models, and face tracking.
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Size: 2459648 |
Author: Ali |
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Description: This package used to detect the sift feature and track the people
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Size: 27648 |
Author: salah |
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Description: This project deals with the tracking and following of single object in a sequence of frames
and the velocity of the object is determined. Algorithms are developed for improving
the image quality, segmentation, feature extraction and for deterring the velocity. The
developed algorithms are implemented and evaluated on TMS320C6416T DSP Starter
Kit (DSK). Segmentation is performed to detect the object after reducing the noise from
that scene. The object is tracked by plotting a rectangular bounding box around it in
each frame. The velocity of the object is determined by calculating the distance that the
object moved in a sequence of frames with respect to the frame rate that the video is
recorded. The algorithms developed can also be used for other applications (real time,
object classi cation, etc.).
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Size: 1197056 |
Author: vikas |
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Description: 该源码是关于运动对象跟踪的算法，主要实现了高斯背景建模，全局运动补偿（SIFT特征和RANSAC算法），运动对象检测，对象跟踪算法（Mean Shift，Particle Filter等），对象特征提取（轨迹，大小，起止帧等），同时，程序基于VC2008+OpenCV开发，实现了对话框式的程序界面，效率高。-This is a source about motion object tracking, including foreground modeling,object detection,object tracking,feature generation. It developed based on VC2008 and OpenCV library. The friendly interface is very convinient for new learners.
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Description: In this thesis we present an operational computer vision system for real-time detection and tracking of human motion. The system captures monocular video of a scene and identifies those moving objects which are characteristically human. This serves as both a proof-ofconcept and a verification of other existing algorithms for human motion detection. An approach to statistical modeling of motion developed by Y. Song is coupled with a preprocessing stage of image segmentation and point feature tracking. This design allows a system that is robust with respect to occlusion, clutter, and extraneous motion. The results of experiments with the system indicate the ability to minimize both false detections and missed detections.
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Author: linuszhao |
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Description: 人体三维运动特征提取和对其动作行为检索，有助于大家对其深刻的了解-The human body 3 d motion feature extraction and retrieval to its behavior
Help you for its deep understanding
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Size: 199680 |
Author: Cathy |
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