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Object Tracking with Multi-Classifier Fusion Based on Compressive Sensing and Multiple Instance Learning

机译：基于压缩感应的多分类器融合对象跟踪及多分类学习

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Si Chen; Xiaoshun Lu; Xiaosen Chen; Min Chen; Jianghu Chen; Dahan Wang; Shunzhi Zhu;
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年度 2020
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1. Object Tracking with Multi-Classifier Fusion Based on Compressive Sensing and Multiple Instance Learning [J] . Si Chen, Xiaoshun Lu, Xiaosen Chen, Mathematical Problems in Engineering: Theory, Methods and Applications . 2020,第1期

机译：基于压缩感应的多分类器融合对象跟踪及多分类学习
2. Fast Compressive Tracking with Robust Example Selection Based on Multiple Instance Learning in Smart and Autonomous Systems (Retraction of Vol 69, Pg 336, 2017) [J] . Jia Min, Gao Zheng, Guo Qing, Pattern Recognition: The Journal of the Pattern Recognition Society . 2018,第期

机译：基于智能和自治系统的多实例学习的鲁棒示例选择快速压缩跟踪（Vol 69，PG 336,2017的撤退）
3. Online Visual Tracking of Weighted Multiple Instance Learning via Neutrosophic Similarity-Based Objectness Estimation [J] . Keli Hu, Wei He, Jun Ye, Symmetry . 2019,第6期

机译：通过基于中智相似度的对象估计进行加权多实例学习的在线视觉跟踪
4. Compressive object tracking based on weighted multiple instance learning [C] . Jian Xu, Yuesheng Yang, Dongli Wang, Youth Academic Annual Conference of Chinese Association of Automation . 2017

机译：基于加权多实例学习的压缩目标跟踪
5. Deep-Learning-Based Multiple Object Tracking in Traffic Surveillance Video [D] . Ding, Liqiang. 2018

机译：基于深度学习的多对象跟踪在流量监控视频中
6. Patch Based Multiple Instance Learning Algorithm for Object Tracking [O] . Zhenjie Wang, Lijia Wang, Hua Zhang 2017

机译：基于补丁的多实例目标跟踪算法
7. Object tracking based on online multiple instance learning with feature weighted fusion [O] . 刘薇, 戴平阳, 李翠华 2015

机译：基于在线多实例学习与特征加权融合的目标跟踪
8. Field Data Based Data Fusion Methodologies to Estimate Dynamic Origin-Destination Demand Matrices from Multiple Sensing and Tracking Technologies. [R] . Zhu, S., Guo, Y., Zheng, H., 2016

机译：基于现场数据的数据融合方法，用于估算多种传感和跟踪技术的动态源 - 目标需求矩阵。

Object Tracking with Multi-Classifier Fusion Based on Compressive Sensing and Multiple Instance Learning

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