激光与光电子学进展, 2019, 56 (23): 231503, 网络出版: 2019-11-27
基于时间正则化及背景感知的滤波器跟踪 
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Filter Tracking Based on Time Regularization and Background-Aware
图 & 表
图 1. 样本提取对比结果。(a)传统CFS样本提取结果;(b) TBACF样本提取结果
Fig. 1. Comparison results of sample extraction. (a) Traditional CFS sample extraction results; (b) Results of TBACF sample extraction
图 3. 6种算法在OTB-2015数据集上的精确度得分和成功率得分。(a)精确度得分;(b)成功率得分
Fig. 3. Precision and success rate scores of six algorithms on OTB-2015 dataset. (a) Precision score; (b) success rate score
图 4. 6种算法在11种属性序列上的跟踪精度图。(a)低分辨率精度图;(b)出视野精度图;(c)运动模糊精度图;(d)背景嘈杂精度图;(e)光照变化精度图;(f)快速运动精度图;(g)形变精度图;(h)遮挡精度图;(i)平面内旋转精度图;(j)平面外旋转精度图;(k)尺度变化精度图
Fig. 4. Tracking precision scores of six algorithms on eleven attribute sequences. (a) Precision plots of low resolution; (b) precision plots of out-of-view; (c) precision plots of motion blur; (d) precision plots of background clutter; (e) precision plots of illumination variation; (f) precision plots of fast motion; (g) precision plots of deformation; (h) precision plots of occlusion; (i) precision plots of in-plane rotation; (j) precision plots of out-plane rotation; (k) precision plots of scale vari
图 5. 6种算法在11种属性序列上的跟踪成功率得分。(a)低分辨率成功率得分;(b)出视野成功率得分;(c)运动模糊成功率得分;(d)背景嘈杂成功率得分;(e)光照变化成功率得分;(f)快速运动成功率得分;(g)形变成功率得分;(h)遮挡成功率得分;(i)平面内旋转成功率得分;(j)平面外旋转成功率得分;(k)尺度变化成功率得分
Fig. 5. Tracking success rate scores of six algorithms on eleven attribute sequences. (a) Success rate scores of low resolution; (b) success rate scores of out-of-view; (c) success rate scores of motion blur; (d) success rate scores of background clutter; (e) success rate scores of illumination variation; (f) success rate scores of fast motion; (g) success rate scores of deformation; (h) success rate scores of occlusion; (i) success rate scores of in-plane rotation; (j) success rate scores of out-of-pla
表 16种算法在OTB-2015数据集上的测试结果
Table1. Testing results of six algorithms on OTB-2015 dataset
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刘明明, 裴东, 刘举, 祝东辉, 孙浩翔. 基于时间正则化及背景感知的滤波器跟踪[J]. 激光与光电子学进展, 2019, 56(23): 231503. Mingming Liu, Dong Pei, Jü Liu, Donghui Zhu, Haoxiang Sun. Filter Tracking Based on Time Regularization and Background-Aware[J]. Laser & Optoelectronics Progress, 2019, 56(23): 231503.
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