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基于颜色属性直方图的尺度目标跟踪算法研究

毕笃彦 库涛 查宇飞 张立朝 杨源

毕笃彦, 库涛, 查宇飞, 张立朝, 杨源. 基于颜色属性直方图的尺度目标跟踪算法研究[J]. 电子与信息学报, 2016, 38(5): 1099-1106. doi: 10.11999/JEIT150921
引用本文: 毕笃彦, 库涛, 查宇飞, 张立朝, 杨源. 基于颜色属性直方图的尺度目标跟踪算法研究[J]. 电子与信息学报, 2016, 38(5): 1099-1106. doi: 10.11999/JEIT150921
BI Duyan, KU Tao, ZHA Yufei, ZHANG Lichao, YANG Yuan. Scale-adaptive Object Tracking Based on Color Names Histogram[J]. Journal of Electronics & Information Technology, 2016, 38(5): 1099-1106. doi: 10.11999/JEIT150921
Citation: BI Duyan, KU Tao, ZHA Yufei, ZHANG Lichao, YANG Yuan. Scale-adaptive Object Tracking Based on Color Names Histogram[J]. Journal of Electronics & Information Technology, 2016, 38(5): 1099-1106. doi: 10.11999/JEIT150921

基于颜色属性直方图的尺度目标跟踪算法研究

doi: 10.11999/JEIT150921
基金项目: 

国家自然科学基金(61472442, 61372167), 陕西省青年科技新星项目(2015KJXX-46)

Scale-adaptive Object Tracking Based on Color Names Histogram

Funds: 

The National Natural Science Foundation of China (61472442, 61372167), The Young Star Science and Technology Program of Shaanxi (2015KJXX-46)

  • 摘要: 利用目标颜色信息的跟踪算法,容易受到环境光照、尺度变化、相似背景等因素的干扰,导致跟踪任务失败。为了克服以上问题,该文提出一种基于颜色属性空间的鲁棒尺度目标跟踪算法。该算法首先将原始的RGB颜色空间映射到颜色属性(Color Names, CN)空间,减少目标颜色在跟踪过程中受环境变化影响。然后采用一种背景加权约束的颜色属性直方图,来抑制相似背景的干扰。最后,为了解决目标尺度变化带来的影响,先用梯度上升法粗略估计尺度,再用约束项精确求解尺度,并利用反向一致性检验,进一步提高尺度估计的准确性。该文选取了5段典型视频进行实验,并与相关算法进行比较。结果表明所提算法能够消除环境光照、阴影、相似背景和尺度变化等因素所带来的影响,在中心位置误差和跟踪成功率性能指标上,优于其它算法。
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出版历程
  • 收稿日期:  2015-08-07
  • 修回日期:  2016-01-22
  • 刊出日期:  2016-05-19

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