Description: 一个以光流方程为约束条件的图像特征点跟踪程序。-to an equation of the optical flow constraints of the image feature point tracking procedures. Platform: |
Size: 1024 |
Author:gwg |
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Description: 一个用于电子显微镜下运动细胞的识别跟踪的源代码，出自哈佛医学院的一位教授，对于做物体运动识别估计的各位很有帮助！-Under an electron microscope for cell identification and tracking movement of the source code, from a professor at Harvard Medical School, for the movement of objects do you identify the estimated useful! Platform: |
Size: 14336 |
Author:罗肖 |
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Description: 用于虹膜定位……定位外圆之前需要进行边界跟踪，此程序实现此功能-For Iris Location ... Location ... before the need for outer border tracking, this procedure realize this feature Platform: |
Size: 1024 |
Author:xiaoyan |
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Description: 视频追踪的框架算法，实现了基于meanshift和feature based的跟踪算法-Framework for video tracking algorithm meanshift based and feature based tracking algorithm Platform: |
Size: 24576 |
Author:xieyuan |
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Description: SIFT算法，可以有效的找到不同画面中的对应特征点，在跟踪和图形识别方面有很好的用途-SIFT algorithm, can effectively find a different screen the corresponding feature points, in the tracking and pattern recognition as a very good use of Platform: |
Size: 3559424 |
Author:jacky |
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Description: 步态识别关键技术研究。包括阴影消除；多人跟踪；特征提取及多特征融合。
这可是一篇对研究步态的朋友有用的硕士论文哦-Gait recognition research of key technologies. Including the elimination of the shadow people tracking feature extraction and multi-feature fusion. This is one pairs of friends gait research useful Oh master s thesis Platform: |
Size: 1292288 |
Author:刘秋菊 |
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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. Platform: |
Size: 4657152 |
Author:Stephen Bishop |
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Description: 基于投票算法的目标跟踪,基于二阶非线性投票的多目标跟踪算法。该算法通过目标匹配得到同一目标在不同帧中的位置，同时利用特征监测来处理目标的遮挡、分裂问题，并实现目标特征的实时更新。在目标匹配过程中，通过对目标前一帧与当前帧的特征相似性进行投票，得到匹配目标。利用视频图像进行实验，结果表明：该方法对噪声、阴影、遮挡、分裂等具有良好的鲁棒性，较好地实现了多目标的跟踪。-The method used object matching to get objects’ position in different frames, and used feature monitoring to deal with object occlusion, object split and implement real-time update for objects features. Objects were matched based on the similarity voting of their features in successive frames. Experimental study had been carried out using image sequences captured in real scene. The experimental results show that the method is robust against noise, shadows, occlusion, and split and it performs multiple objects tracking finely. Platform: |
Size: 1024 |
Author:崔瑞芳 |
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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. Platform: |
Size: 2459648 |
Author:Ali |
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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.). Platform: |
Size: 1197056 |
Author:vikas |
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Description: sift目标跟踪特征点的匹配，检测性能高，匹配效果好-sift target tracking feature points of the match, testing high-performance, match the good results Platform: |
Size: 2803712 |
Author:guaer |
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Description: 基于SIFT特征跟踪的的图像稳定技术研究，我的毕业设计，附带MATLAB源代码及图片-SIFT-based feature tracking of image stabilization technology, for my graduation, with MATLAB source code and pictures Platform: |
Size: 7233536 |
Author:zcc21 |
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Description: The provided code constitues the Fast Feature video Tracking algorithm as implemented in Matlab. Platform: |
Size: 4096 |
Author:sonda |
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Description: 本文研究了用肤色特征跟踪人脸的方法，在最后用matlab仿真实验加以说明本算法的优点-it is a good feature for tracking and show the usefull with matlab Platform: |
Size: 803840 |
Author:cathy |
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Description: 本文设计了一套指纹图像预处理和指纹特征提取算法, 利用方向滤波的方法对原始图像进行增强,使用改进的细化算法进行细化, 最后基于脊线跟踪的方法, 用改进的算法更为简洁而有效地避免了各种伪特征。设计的算法经Matlab 实现, 实验效果良好。-Designed a fingerprint image and fingerprint feature extraction algorithm using directional filtering the original image enhancement, improved thinning algorithm refinement, the last ridge line tracking method, the improved algorithm is more simple and effective way to avoid the pseudo-characteristic. Design algorithm with Matlab, the experiment well. Platform: |
Size: 457728 |
Author:agui |
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Search - feature tracking matlab