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A Real Time Face Tracking System based on Multiple Information Fusion

机译：基于多信息融合的实时脸部跟踪系统

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摘要

Face tracking is one of key steps in real surveillance system. In this paper, a real-time face tracking system using multiple objects tracking algorithm is proposed. Multiple objects tracking algorithms typically consist of two parts: object detection and data association. In our system, we particularly use Multi-task convolutional neural network (MTCNN) to detect faces. Simultaneously, aiming at dealing with the tracking failure caused by object occlusion or rapid object movement, we use multiple features including appearance feature, motion feature, and shape feature for tracking. Furthermore, a judgement method is applied to measure whether tracking is successful or not. After that, depending on the tracking state, we adjust the weights of different features for feature fusion. From the experimental results, it can be concluded that, compared with the traditional tracking algorithms the proposed multi-object tracking algorithm has a better tracking effect in the real scenes.
机译：面部跟踪是真实监视系统的关键步骤之一。本文提出了一种使用多个对象跟踪算法的实时脸部跟踪系统。多个对象跟踪算法通常由两个部分组成：对象检测和数据关联。在我们的系统中，我们特别使用多任务卷积神经网络（MTCNN）来检测面部。同时，旨在处理由物体遮挡或快速对象移动引起的跟踪失败，我们使用多个功能，包括外观功能，运动功能和形状特征进行跟踪。此外，应用判断方法来测量跟踪是否成功。之后，根据跟踪状态，我们调整不同特征的权重，用于特征融合。从实验结果中，可以得出结论，与传统的跟踪算法相比，所提出的多目标跟踪算法在真实场景中具有更好的跟踪效果。

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  • 来源
    《Multimedia Tools and Applications》 |2020年第24期|16751-16769|共19页
  • 作者

    Zhichao Lian; Shuai Shao; Chanying Huang;

  • 作者单位

    School of Computer Science and Engineering Key Laboratory of Spectral Imaging and Intelligent Sense Nanjing University of Science and Technology Nanjing China;

    School of Computer Science and Engineering Key Laboratory of Spectral Imaging and Intelligent Sense Nanjing University of Science and Technology Nanjing China;

    School of Computer Science and Engineering Key Laboratory of Spectral Imaging and Intelligent Sense Nanjing University of Science and Technology Nanjing China;

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  • 原文格式 PDF
  • 正文语种 eng
  • 中图分类
  • 关键词

    Multiple object tracking; Feature fusion; Face detection; Machine learning;

    机译：多个对象跟踪;特征融合;面部检测;机器学习;

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