搜索资源列表
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采用kalman滤波器进行目标跟踪的源代码,object tracking using kalman filter
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matlab tracking source code to track a moving object on the scene by using centroid and rectangle method,matlab tracking source code to track a moving object on the scene by using centroid and rectangle method
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使用camshift方法进行运动目标跟踪，（修改了网上原有的camshift算法里的一些bug）-moving object tracking by camshift method,(modification edition of the original code on the web)
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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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matlab实现视频中动态目标跟踪，效果还不错，以前试过里边的DEMO。-matlab dynamic target tracking in video, the results were good, tried before inside the DEMO.
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Video tracking using Adaboost algorithm for auto-updating of the weak classifiers.
The object has to be defined by the user (no auto-recogntion). The tracker works for every type of object (no prior assumptions are taken to object size or form).
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采用多假设检验法实现多目标跟踪，建立了多目标跟踪/视频监控平台，结合卡尔曼滤波预测目标轨迹。用户可以自己修改相关代码。-This code complete multiple object tracking/multiple target tracking/multi target tracking/multi object tracking using multiple hypothesis test/multi hypothesis test, builds up a visual surv
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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 differe
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去除彩色图像中的阴影，以便于图像分割，物体识别以及跟踪-To remove the shadow of color images in order to facilitate the image segmentation, object recognition and tracking
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Kalman滤波器在单运动目标自动跟踪中的应用,相当经典，希望对大家有所帮助。-Kalman filter in a single moving object automatic tracking of applications, very classic, I hope to help all of you.
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The application works with non-compressed grayscale AVI files. Run mainGUI.p. Load AVI file first using "Load". To process the next frame use "Step". To run the application until stop, use "Run" and "Stop". You
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正交相关目标检测，采用正交相关方法检测指定目标在图像中的位置。适用于计算机视觉中的视频目标检测、视觉目标检测、目标定位、视觉目标跟踪、视频目标跟踪、图像匹配、图像配准等工作。-cross relation detection is used to detect object in image for in the field computer vision such as visual object detection, motion detection, object localization
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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
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this code is for tracking object in video in matlab with useing frames
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A complete methodology for object tracking using a ball example and it also deals in reducing run time by using an optimized colour detection based algorithm
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一种基于纹理的Mean Shift目标跟踪算法Matlab源代码,论文<Robust Object Tracking using Joint Color-Texture Histogram>发表在2009年的International Journal of Pattern Recognition and Artifical Intelligence.-Matlab Code for An Texture based Mean Shift Tracking Algroithm. The
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得到图像的直方图来进行图像之间的比较，主要用于图像检索和目标跟踪-Carried out by the image histogram comparison between the images, mainly for image retrieval and object tracking
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提取目标位置参考点和目标匹配模板；使用基于区域特征的运动目标跟踪算法获取目标位置（像素)
-Extraction of target location and target reference points match template use region-based feature tracking algorithm for moving object target location (pixels)
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Object tracking in computer vision refers to the task of
tracking individual moving objects accurately from one
frame to another in an image sequence. Several tracking
methods have been proposed in the recent literature
capable of coping with
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视频中动态目标的跟踪，matlab代码，包含测试视频-motion object tracking in videos. coded in matlab including test video.
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