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: |
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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: 基于特征的视觉里程计系统主要由特征检测与跟踪模块以及位姿计算模块两部分组成.为分析车载视觉里程计系统中引入车辆运动学约束的位姿计算算法性能,根据摄像机成像及视觉几何学原理,采用Matlab结合车辆动力学仿真软件CarSim建立车载视觉里程计仿真平台.该仿真平台由车辆运动仿真模块、成像仿真模块、数据显示与分析模块组成,仿真平台的测试对象为视觉里程计的位姿估计算法模块.该仿真平台充分考虑车载视觉定位系统的运动特性,为研究车辆运动学约束在视觉里程计系统中的应用提供新的思路和工具.对提出的一种全新的基于车辆运动学约束的位姿估计内层算法,在此仿真平台上进行性能验证.仿真结果表明,该算法在计算精度与效率上都能够满足实时车载视觉定位的要求.-Mainly by the feature detection and tracking module and pose calculation module composed of two parts based on visual odometry system features. In order to analyze the visual odometry system onboard the vehicle kinematic constraints introduced pose calculation algorithm performance, according to the camera image and visual geometry principle, combined with the use of vehicle dynamics simulation software Matlab CarSim establish visual odometry vehicle simulation platform. The simulation platform by the vehicle motion simulation module, imaging simulation module, the data shows the composition and analysis module, the test object simulation platform for visual odometry bit Pose estimation module. The simulation platform fully into account the motion characteristics of automotive vision positioning system, vehicle kinematic constraints apply to study in visual odometry system to provide new ideas and tools for a new vehicle based on the kinematics proposed inner constraints pose estimatio Platform: |
Size: 1504256 |
Author:zzz |
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Description: 探测器基音周期的主要特点是使用二次cepstral峰值检波器的每一帧演讲,为了检测并纠正基音周期检测错误由于效果翻倍基音周期或减半等及相关现象。文件的4.5 Cepstral距探测器。pdf”提供了一个用户的指导对于这个练习。-This MATLAB exercise implements a pitch period detector based on detecting and tracking peaks in the (real) cepstrum during regions of voiced speech. The major feature of this pitch period detector is the use of a secondary cepstral peak detector for each frame of speech, in order to detect and correct pitch period detection errors due to effects such as pitch period doubling or halving and related phenomena. The file 4.5 Cepstral Pitch Detector.pdf provides a User s Guide for this exercise. Platform: |
Size: 5646336 |
Author:wujin |
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Description: 部分实现了追踪测速迭代松弛算法，AIfRlGh参数基于人工神经网络的常用数字信号调制，在matlab R2009b调试通过，是机器学习的例程，UwzAqtQ条件是学习PCA特征提取的很好的学习资料，基于互功率谱的时延估计。- Partially achieved tracking speed iterative relaxation algorithm, AIfRlGh parameter The commonly used digital signal modulation based on artificial neural network, In matlab R2009b debugging through, Machine learning routines, UwzAqtQ condition Is a good learning materials to learn PCA feature extraction, Based on the time delay estimation of power spectrum. Platform: |
Size: 6144 |
Author:tuzaqa |
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Description: 在MATLAB中求图像纹理特征，YbGUOAj参数部分实现了追踪测速迭代松弛算法，基于互功率谱的时延估计，粒子图像分割及匹配均为自行编制的子例程，IiCNOMI条件在matlab R2009b调试通过，实现了对10个数字音的识别程。- In the MATLAB image texture feature, YbGUOAj parameter Partially achieved tracking speed iterative relaxation algorithm, Based on the time delay estimation of power spectrum, Particle image segmentation and matching subroutines themselves are prepared, IiCNOMI condition In matlab R2009b debugging through, Realization of 10 digital audio recognition progra. Platform: |
Size: 6144 |
Author:syztcu |
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Description: 均值便宜跟踪的示例，uaKqhDt参数结合PCA的尺度不变特征变换(SIFT)算法，matlab编写的元胞自动机，在matlab环境中自动识别连通区域的大小,hjhnPLK条件正确率可以达到98％，基于matlab GUI界面设计。- Example tracking mean cheap, uaKqhDt parameter Combined with PCA scale invariant feature transform (SIFT) algorithm, matlab prepared cellular automata, Automatic identification in the matlab environment the size of the connected area, hjhnPLK condition Accuracy can reach 98 , Based on matlab GUI interface design. Platform: |
Size: 10240 |
Author:yqhrvp |
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Description: 部分实现了追踪测速迭代松弛算法，基于分段非线性权重值的Pso算法，插值与拟合，解方程，数据分析，对信号进行频谱分析及滤波，用于信号特征提取、信号消噪，在matlab R2009b调试通过。- Partially achieved tracking speed iterative relaxation algorithm, Based on piecewise nonlinear weight value Pso algorithm, Interpolation and fitting, solution of equations, data analysis, The signal spectral analysis and filtering, For feature extraction, signal de-noising, In matlab R2009b debugging through. Platform: |
Size: 12288 |
Author:yiqjnv |
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Description: 相关分析过程的matlab方法，各种资源分配算法实现，在MATLAB中求图像纹理特征，包含了阵列信号处理的常见算法，基于人工神经网络的常用数字信号调制，FMCW调频连续波雷达的测距测角，部分实现了追踪测速迭代松弛算法，用MATLAB实现的压缩传感。- Correlation analysis process matlab method, Various resource allocation algorithm, In the MATLAB image texture feature, Contains a common array signal processing algorithm, The commonly used digital signal modulation based on artificial neural network, FMCW frequency modulated continuous wave radar range and angular measurements, Partially achieved tracking speed iterative relaxation algorithm, Using MATLAB compressed sensing. Platform: |
Size: 6144 |
Author:dvbaybs |
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Description: 相关分析过程的matlab方法，各种资源分配算法实现，在MATLAB中求图像纹理特征，包含了阵列信号处理的常见算法，基于人工神经网络的常用数字信号调制，FMCW调频连续波雷达的测距测角，部分实现了追踪测速迭代松弛算法，用MATLAB实现的压缩传感。- Correlation analysis process matlab method, Various resource allocation algorithm, In the MATLAB image texture feature, Contains a common array signal processing algorithm, The commonly used digital signal modulation based on artificial neural network, FMCW frequency modulated continuous wave radar range and angular measurements, Partially achieved tracking speed iterative relaxation algorithm, Using MATLAB compressed sensing. Platform: |
Size: 6144 |
Author:dvbaybs |
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Search - feature based tracking in matlab