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Description: klt, a tracking algorithm
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Size: 2396160 |
Author: 程红 |
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Description: 经典的特征提取及其跟踪算法 klt算法 利用于机器人视觉 -classic feature extraction and tracking algorithm klt algorithm in robot vision
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Size: 99328 |
Author: 郑重 |
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Description: KLT point match:Detection and Tracking of Point Features.
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Size: 2751488 |
Author: 万黎 |
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Description: 求解KLT算子角点提取，KLT算子角点跟踪，达到亚像素精度-Solving KLT Corner Detection Operator, KLT corner track operator to sub-pixel accuracy
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Size: 924672 |
Author: 张治国 |
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Description: KLT: An Implementation of the
Kanade-Lucas-Tomasi Feature Tracker
KLT : An Implementation of the
Kanade-Lucas-Tomasi Feature Tracker -KLT: An Implementation of the
Kanade-Lucas-Tomasi Feature Tracker
KLT: An Implementation of the
Kanade-Lucas-Tomasi Feature Tracker
KLT: An Implementation of the
Kanade-Lucas-Tomasi Feature Tracker
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Size: 2299904 |
Author: zhou |
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Description: KLT has been designed to be easy to use. It should take no more than a few minutes to learn how to select and track features, and store and use the results. For those who wish to maximize performance, however, the program allows the flexibility of tweaking nearly every parameter that governs the computation, and it includes several methods to improve speed.
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Size: 90112 |
Author: Alex |
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Description: Deaf people use facial expressions a non-manual channel for conveying grammatical information in sign language. Tracking facial features using the Kanade - Lucas - Tomasi (KLT) algorithm is a simple and effective method toward recognizing these facial expressions, which are performed simultaneously with head motions and hand signs. To make the tracker robust under these conditions, a Bayesian framework was developed as a feedback mechanism to the KLT tracker. This mechanism relies on a set of face shape subspaces learned by Probabilistic Principal Component Analysis. An update scheme was utilized to modify these subspaces and adapt to persons with different face shapes. The result shows that the proposed system can track facial features with large head motions, substantial facial deformations, and temporary face occlusions by hand.-Deaf people use facial expressions as a non-manual channel for conveying grammatical information in sign language. Tracking facial features using the Kanade- Lucas- Tomasi (KLT) algorithm is a simple and effective method toward recognizing these facial expressions, which are performed simultaneously with head motions and hand signs. To make the tracker robust under these conditions, a Bayesian framework was developed as a feedback mechanism to the KLT tracker. This mechanism relies on a set of face shape subspaces learned by Probabilistic Principal Component Analysis. An update scheme was utilized to modify these subspaces and adapt to persons with different face shapes. The result shows that the proposed system can track facial features with large head motions, substantial facial deformations, and temporary face occlusions by hand.
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Size: 189440 |
Author: Ng Jack |
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Description: 该代码可以在视频图象中检测运动物体并且实现对运动物体的跟踪-this code can find the object which is moving in the video and track it
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Size: 14175232 |
Author: zhangge |
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Description: The KLT Tracker algorithm implementation. The starting location of the object must be manually initialized. Object tracking is accomplished using two methods: simple track and advanced track.
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Size: 8609792 |
Author: nablanc |
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Description: KLT算法 用于image tracking 包括select good feature track feature point等 此文本是c++版本 -KLT algorithm for image tracking including select good feature track feature point text c++ version
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Size: 555008 |
Author: VincentJHY |
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Description: Face Detection and Tracking Using the KLT Algorithm
This example shows how to automatically detect and track a face using
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Size: 3072 |
Author: mohammad |
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Description: 这是KLT算法论文的高清版。Kanade-Lucas-Tomasi方法，在跟踪方面表现的也不错，尤其在实时计算速度上，用它来得到的，是很多点的轨迹“trajectory”，并且还有一些发生了漂移的点，所以，得到跟踪点之后要进行一些后期的处理，说到Kanade-Lucas-Tomasi方法，首先要追溯到Kanade-Lucas两人在上世纪80年代发表的paper：An Iterative Image Registration Technique with an Application to Stereo Vision，这里讲的是一种图像点定位的方法，即图像的局部匹配，将图像匹配问题，从传统的滑动窗口搜索方法变为一个求解偏移量d的过程，后来Jianbo Shi和Carlo Tomasi两人发表了一篇CVPR(94 )的文章Good Features To Track，这篇文章，主要就是讲，在求解d的过程中，哪些情况下可以保证一定能够得到d的解，这些情况的点有什么特点（后来会发现，很多时候都是寻找的角点）。-KLT is an implementation, in the C programming language, of a feature tracker for the computer vision community. The source code is in the public domain, available for both commercial and non-commerical use.
The tracker is based on the early work of Lucas and Kanade [1], was developed fully by Tomasi and Kanade [2], and was explained clearly in the paper by Shi and Tomasi [3]. Later, Tomasi proposed a slight modification which makes the computation symmetric with respect to the two images-- the resulting equation is derived in the unpublished note by myself [4]. Briefly, good features are located by examining the minimum eigenvalue of each 2 by 2 gradient matrix, and features are tracked using a Newton-Raphson method of minimizing the difference between the two windows. Multiresolution tracking allows for relatively large displacements between images. The affine computation that evaluates the consistency of features between non-consecutive frames [3] was implemented by Thorsten T
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Size: 789504 |
Author: 王凯 |
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Description: 使用VJ算法识别人脸，并使用KLT算法进行特征识别并追踪(Face detection using VJ algorithm, and track it using KLT algorithm)
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Size: 1024 |
Author: Kirsch |
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