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: 1098 |
Author:gwg |
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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: 用openCV编写的SURF特征检测方法，此代码只供学习交流，版权归原作者所有，如有商业利用请于原作者liuliu联系。-SURF prepared by openCV feature detection methods, this code is for learning exchanges, and belongs to original author, if the commercial exploitation of liuliu Please contact original author. Platform: |
Size: 6144 |
Author:于子予 |
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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. Platform: |
Size: 2163712 |
Author:sacoura31 |
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Description: 使用Kalman滤波器跟踪一个旋转的点，用于特征点的跟踪-Use Kalman filter to track a rotating point for the tracking of feature points Platform: |
Size: 3072 |
Author:孙波 |
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Description: A very good paper that explain tracking facial feature under varying face pose and facial expression-This paper presents a hierarchical multi-state pose-dependent approach for facial feature detection and tracking under varying facial expression and face pose. For effective and efficient representation of feature points, a hybrid representation that integrates Gabor wavelets and gray-level profiles is proposed. To model the spatial relations among feature points, a hierarchical statistical face shape model is proposed to characterize both the global shape of human face and the local structural details of each facial component. Furthermore, multi-state local shape models are introduced to deal with shape variations of some facial components under different facial expressions. During detection and tracking, both facial component states and feature point positions, constrained by the hierarchical face shape model, are dynamically estimated using a switching hypothesized measurements (SHM) model. Experimental results demonstrate that the proposed method accurately and robustly tracks faci Platform: |
Size: 958464 |
Author:Ng Jack |
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Description: Active appearance mode AAM API 用于特征点跟踪-Active appearance mode AAM API for feature point tracking Platform: |
Size: 7080960 |
Author:luocw138 |
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Description: The face can communicate varied personal information
including subjective emotion, communicative intent, and
cognitive appraisal. Accurate interpretation by observer or
computer interface depends on attention to dynamic properties
of the expression, context, and knowledge of what
is normative for a given individual. In two separate studies,
we investigated individual differences in the base rate
of positive facial expression and in specific facial action
units over intervals from 4- to 12 months. Facial expression
was measured using convergent measures, including facial
EMG, automatic feature-point tracking, and manual FACS
coding. Platform: |
Size: 61440 |
Author:payal |
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Description: 提出一种人脸特征点跟踪方法。首先, 运用ASM 获取人脸的特征点, 然后在选用Lucas Kanade光流算法的基础
上, 将初始帧和当前帧的前一帧有机结合起来, 共同作为当前帧的参考来进行特征点跟踪。实验结果表明该方法对特征
点的跟踪有很好的效果。-Proposed a facial feature point tracking method. First, the use of the ASM obtaining human face feature point, and then in the selection of the the Lucas Kanade optical flow algorithm, based on, the initial frame and the current frame before a combine, as the current frame of reference common feature point tracking . Experimental results show that the method has a good effect on the tracking of the feature point. Platform: |
Size: 231424 |
Author:yaomeng |
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Description: 研究优化人脸特征提取问题，针对长期以来在不贴标记点的情况下用传统的光流、Snake、可变模板等方法对纹理特征变化大的特征点不能有效跟踪，并且解决单独采用Gabor 小波系统开销大等问题，为了在人脸图像中提取准确信息，提出了人脸特征点的跟踪方法，分组采用改进的光流法和弹性图匹配的方法进行特征点跟踪。对眼睛、眉毛、上下眼皮等14 个表
情变化不大的特征点使用光流法进行跟踪，最后对变化大的嘴部8 个特征点运用Gabor 小波的弹性图匹配方法进行仿真。-Gabor wavelet research to optimize facial feature extraction problem for a long time in the case of stickers marked point changes of texture features with traditional optical flow, Snake, variable template feature points can not effectively track and solve alone overhead and large, in order to extract the accurate information in a face image, the facial feature point tracking method, grouping, improved optical flow method and elastic graph matching feature point tracking. Little change in the feature point of eyes, eyebrows, and eyelids 14 expression using the optical flow method for tracking simulation using Gabor wavelet elastic graph matching method, and finally on the changes of eight characteristic points of the mouth portion. Platform: |
Size: 444416 |
Author:yaomeng |
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Description: 非常好的资料，基于局部特征点的跟踪，surf算法， 角点检测，ransca-Very good information, based on local feature point tracking, surf algorithm, corner detection, ransca Platform: |
Size: 7366656 |
Author:jiangnan |
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Description: 用matlab实验运动图像的运动轨迹检测和特征点跟踪-Matlab experiment with the trajectory of motion detection and image feature point tracking Platform: |
Size: 4228096 |
Author:贺荧娇 |
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Description: 基于Opencv的点循迹跟踪，可用opencv库函数识别特征点，后根据特征点之间的联系进而进行跟踪。-Opencv point tracking tracking based on available opencv library function identification feature points, according to the feature points between contact and tracking. Platform: |
Size: 671744 |
Author:图图 |
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Description: 利用openCV，首先利用goodFeaturesToTrack函数得到图像中的强边界作为跟踪的特征点，接下来要调用calcOpticalFlowPyrLK函数，输入两幅连续的图像，并在第一幅图像里选择一组特征点，输出为这组点在下一幅图像中的位置。再把得到的跟踪结果过滤一下，去掉不好的特征点。再把特征点的跟踪路径标示出来。(Using openCV, we use goodFeaturesToTrack function to get strong edges in the image as the feature point tracking, next to call calcOpticalFlowPyrLK function, input two consecutive images, and select a set of feature points in the first image, the output for this set of points in the next image position. Then filter the resulting trace to get rid of the bad feature points. Then mark the tracking path of the feature points.) Platform: |
Size: 2072576 |
Author:赵嘉慧
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Search - feature point tracking