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视频对象的跟踪提取原代码，能够有效地识别运动的人和物体，边缘准确，不受场景的影响-Video Object Extraction of the tracking code to identify effective movement of people and objects, accurate edge, Scenes from the impact
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已调试通过，复杂背景下视频对象的跟踪提取原代码，能够有效地识别运动的人和物体，边缘准确，不受场景的影响
-Has been debugged, complex background extraction of video object tracking source code, can effectively identify the movement of people and objects, edge accuracy, from the scene of
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camshift目标跟踪代码：跟踪摄像头或者视频文件中的手动画出的目标区域-the code for camshift object detection and tracking
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视频目标检测与跟踪实现代码,简单实现运动车辆的目标检测和跟踪-Video object detection and tracking code
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Robust Object Tracking via Sparsity-based Collaborative Model
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Robust Non-negative Dictionary Learning for Visual Tracking
The provided codes could be either embedded into the benchmark framework of paper Online Object Tracking: A Benchmark (CVPR2013) (You can find details here: http://visual-tracking.net/) or
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particle filter in tracking object
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