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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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This method is used for tracking wavelet/optical flow-based
detection for automatic target recognition in the following paper:
Dessauer, M. and Dua S. “Wavelet-based optical flow object detection, motion estimation, and tracking on moving vehic
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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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捕食者物体跟踪算法 demo
动态物体捕捉算法
未来的计算机操作界面
-Object tracking algorithm demo predator to capture moving objects future computer interface algorithms
LTD
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使用meanshift算法进行视频运动目标的跟踪。使用imcrop函数，手动标定目标图形区域，显现目标的半自动跟踪。-Meanshift algorithm using the moving object tracking. Use imcrop function, manual calibration target graphics area, showing semi-automatic target tracking.
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Extended Kalman Filter Tracking Object in 3-D-Assume that we want to track an object moving in 3-D space with constant velocity. Our instruments observe bearing, range and high(cylindrical coordinates). However, of an interest are rectangular coordin
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Scale-invariant feature transform (or SIFT) is an algorithm in computer vision to detect and describe local features in images. The algorithm was published by David Lowe in 1999.[1]
Applications include object recognition, robotic mapping and na
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本代码实现动态物体的识别与跟踪，但注意本代码只能检测单物体且背景是静止不动的。-The code identification and tracking moving objects, but note that this code can only detect a single object and the background is stationary.
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OPTICAL FLOW METHOD FOR OBJECT TRACKING OF MOVING OBJECTS
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在基于前景检测的基于移动物体检测和车辆跟踪算法的实现中，针对广泛的应用来实现读取AVI文件，并将其分解为R，G和B组件。 执行各种操作并检测移动物体。 各个阶段的阈值决定了识别某些尺寸的移动物体的可能性。 移动物体也在其中跟踪。 MATLAB用于实现算法。 该算法用包含120帧的输入avi格式视频文件进行测试。 研究并实现了这些算法的各种应用。(In this foreground detection based moving object detection and vehicle track
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