| 一种目标响应自适应的通道可靠性跟踪算法 |
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| 引用本文： | 王鹏, 孙梦宇, 王海燕, 李晓艳, 吕志刚. 一种目标响应自适应的通道可靠性跟踪算法[J]. 电子与信息学报, 2020, 42(8): 1950-1958. doi: 10.11999/JEIT190569 |
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| 作者姓名： | 王鹏 孙梦宇 王海燕 李晓艳 吕志刚 |
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| 作者单位： | 1.西北工业大学航海学院 西安 710072;;2.西安工业大学电子信息工程学院 西安 710021;;3.海洋声学信息感知工业和信息化部重点实验室(西北工业大学) 西安 710072;;4.陕西科技大学电子信息与人工智能学院 西安 710021 |
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| 基金项目： | 国家自然科学基金(61271362)，国家重点研发计划(2016YFC1400200)，陕西省科技厅重点研发计划(2019GY-022、2019GY-066), 2019年西安市未央区科技计划项目(201923) |
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| 摘 要： | 为解决基于时空正则项的目标跟踪算法(STRCF)在目标短时遮挡时定位精度低和目标旋转时尺度估计不准确的问题，该文提出了一种目标响应自适应的通道可靠性跟踪算法。该算法在目标模型训练时加入了目标响应正则项，通过在求解过程中更新理想目标响应函数，使得目标被短时遮挡后可重新跟踪目标；加入通道可靠性评价各特征通道的可靠性，提高了模型对目标的表达能力；将目标图像转换至对数极坐标系下训练尺度滤波器，提高在目标旋转时的尺度估计精度。实验结果表明，该文所提算法较STRCF在平均中心位置误差中降低了28.54个像素，在平均重叠率中提高了22.8%，在OTB2015数据集下成功率曲线下面积较STRCF提高了1.5%。
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| 关 键 词： | 目标跟踪 相关滤波 目标响应自适应 通道可靠性 尺度滤波 |
| 收稿时间： | 2019-07-29 |
| 修稿时间： | 2020-03-25 |
An Object Tracking Algorithm with Channel Reliability and Target Response Adaptation |
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| Peng WANG, Mengyu SUN, Haiyan WANG, Xiaoyan LI, Zhigang LÜ. An Object Tracking Algorithm with Channel Reliability and Target Response Adaptation[J]. Journal of Electronics & Information Technology, 2020, 42(8): 1950-1958. doi: 10.11999/JEIT190569 |
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| Authors: | Peng WANG Mengyu SUN Haiyan WANG Xiaoyan LI Zhigang Lü |
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| Affiliation: | 1. School of Marine Science and Technology, Northwestern Polytechnical University, Xi’an 710072, China;;2. School of Electronic Information Engineering, Xi’an Technological University, Xi’an 710021, China;;3. Key Laboratory of Ocean Acoustics and Sensing (Northwestern Polytechnical University), Ministry of Industry and Information Technology, Xi’an 710072, China;;4. School of Electronic Information and Artificial Intelligence, Shaanxi University of Science and Technology, Xi’an 710021, China |
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| Abstract: | In order to solve the problems of lower precision of target location in short-term occlusion and inaccurate of scale estimation of target in rotation by Spatial-Temporal Regularized Correlation Filters (STRCF), an object tracking algorithm with channel reliability and target response adaptation is proposed in this paper. In this algorithm, target response regularization is added to train target model. By updating the ideal target response function in the process of solving model, the target can be tracked again after being occluded for a short time. The reliability of each feature channel is evaluated by coefficient of channel reliability, which can improves the model's expression of the target. Scale filters can be trained in log-polar coordinates to improve the accuracy of scale estimation when target is rotating. The experimental results show that the proposed algorithm reduces 28.54 pixels in the average center position error and improves the average overlap rate by 22.8% compared with STRCF. |
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| Keywords: | Object tracking Correlation filter Target response adaptation Channel reliability Scale correlation filter |
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