| 摘 要: 为了准确地跟踪浮选视频序列中的絮体颗粒，提出一种结合帧差法与Mean Shift的多运动目标跟踪方 法。首先使用帧间差分法对视频文件中的初始两帧图像进行差分处理，进而检测得到运动目标，并确定跟踪窗口和跟踪 目标的中心位置；然后结合数学形态学处理优化差分图像，滤除噪声干扰；最后利用求得的核直方图模型在下一帧图像 内进行搜索，通过Mean Shift算法找到最佳匹配区域，达到对颗粒位置跟踪的目的。结果表明，该算法可以迅速并高效 地跟踪浮选过程中的多个絮体颗粒，具有优越的鲁棒性和实时性。 |
| 关键词: 多目标跟踪；颗粒；帧差法；Mean Shift算法 |
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中图分类号: TP311.11
文献标识码: A
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| 基金项目: 国家自然科学基金(微细赤铁矿颗粒絮凝浮选过程三相流体特征的基础研究，编号：51474087). |
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| A Particle Tracking Method in Flotation Based on the Frame Difference Method Combined with Mean Shift |
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LIANG Xiuman,FU Dongshuai,NIU Fusheng1,2
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1.( 1.College of Electrical Engineering, North China University of Science and Technology, Tangshan 063210, China;2.
2.College of Mining Engineering, North China University of Science and Technology, Tangshan 063210, China)
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| Abstract: In order to track floc particles in a flotation video sequence accurately,the paper proposes a multiple moving object tracking method based on frame difference method and Mean Shift algorithm.First of all,the frame difference method is used to process the two adjacent frames in the video sequence,so as to detect the moving object.Then,differential images are optimized combined with the mathematical morphology processing method,which is convenient to eliminate noise interference.Finally,the obtained kernel histogram model is applied to search in the next frame of the video,and the Mean Shift algorithm is adopted to find the best matching area,which achieves the particle's position tracking.The result indicates that this algorithm can track multiple floc particles quickly and efficiently,with excellent robustness and real-time performance. |
| Keywords: multi-target tracking;particle;frame difference method;mean shift algorithm |
