Fast Face Tracking-by-Detection Algorithm for Secure Monitoring

This work proposes a fast face tracking-by-detection (FFTD) algorithm that can perform tracking, face detection and discrimination tasks. On the basis of using the kernelized correlation filter (KCF) as the basic tracker, multitask cascade convolutional neural networks (CNNs) are used to detect the...

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Main Authors: Jia Su, Lihui Gao, Wei Li, Yu Xia, Ning Cao, Ruichao Wang
Format: Article
Language:English
Published: MDPI AG 2019-09-01
Series:Applied Sciences
Subjects:
Online Access:https://www.mdpi.com/2076-3417/9/18/3774
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author Jia Su
Lihui Gao
Wei Li
Yu Xia
Ning Cao
Ruichao Wang
author_facet Jia Su
Lihui Gao
Wei Li
Yu Xia
Ning Cao
Ruichao Wang
author_sort Jia Su
collection DOAJ
description This work proposes a fast face tracking-by-detection (FFTD) algorithm that can perform tracking, face detection and discrimination tasks. On the basis of using the kernelized correlation filter (KCF) as the basic tracker, multitask cascade convolutional neural networks (CNNs) are used to detect the face, and a new tracking update strategy is designed. The update strategy uses the tracking result modified by detector to update the filter model. When the tracker drifts or fails, the discriminator module starts the detector to correct the tracking results, which ensures the out-of-view object can be tracked. Through extensive experiments, the proposed FFTD algorithm is shown to have good robustness and real-time performance for video monitoring scenes.
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spelling doaj.art-a2601c8dcfcb457c8d5e7e548a8836632022-12-21T23:54:01ZengMDPI AGApplied Sciences2076-34172019-09-01918377410.3390/app9183774app9183774Fast Face Tracking-by-Detection Algorithm for Secure MonitoringJia Su0Lihui Gao1Wei Li2Yu Xia3Ning Cao4Ruichao Wang5School of Information Science and Engineering, Hebei University of Science and Technology, Shijiazhuang 050018, ChinaSchool of Information Science and Engineering, Hebei University of Science and Technology, Shijiazhuang 050018, ChinaSchool of Information Science and Engineering, Hebei University of Science and Technology, Shijiazhuang 050018, ChinaSchool of Information Science and Engineering, Hebei University of Science and Technology, Shijiazhuang 050018, ChinaSchool of Internet of Things and Software Technology, Wuxi Vocational College of Science and Technology, Wuxi 214028, ChinaCollege of Social Sciences and Law, University College Dublin, Dublin Dublin 4, IrelandThis work proposes a fast face tracking-by-detection (FFTD) algorithm that can perform tracking, face detection and discrimination tasks. On the basis of using the kernelized correlation filter (KCF) as the basic tracker, multitask cascade convolutional neural networks (CNNs) are used to detect the face, and a new tracking update strategy is designed. The update strategy uses the tracking result modified by detector to update the filter model. When the tracker drifts or fails, the discriminator module starts the detector to correct the tracking results, which ensures the out-of-view object can be tracked. Through extensive experiments, the proposed FFTD algorithm is shown to have good robustness and real-time performance for video monitoring scenes.https://www.mdpi.com/2076-3417/9/18/3774Internet of Thingssecure monitoringface trackingtracking-by-detectioncorrelation filterconvolution neural network
spellingShingle Jia Su
Lihui Gao
Wei Li
Yu Xia
Ning Cao
Ruichao Wang
Fast Face Tracking-by-Detection Algorithm for Secure Monitoring
Applied Sciences
Internet of Things
secure monitoring
face tracking
tracking-by-detection
correlation filter
convolution neural network
title Fast Face Tracking-by-Detection Algorithm for Secure Monitoring
title_full Fast Face Tracking-by-Detection Algorithm for Secure Monitoring
title_fullStr Fast Face Tracking-by-Detection Algorithm for Secure Monitoring
title_full_unstemmed Fast Face Tracking-by-Detection Algorithm for Secure Monitoring
title_short Fast Face Tracking-by-Detection Algorithm for Secure Monitoring
title_sort fast face tracking by detection algorithm for secure monitoring
topic Internet of Things
secure monitoring
face tracking
tracking-by-detection
correlation filter
convolution neural network
url https://www.mdpi.com/2076-3417/9/18/3774
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