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...
Main Authors: | , , , , , |
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Format: | Article |
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MDPI AG
2019-09-01
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Series: | Applied Sciences |
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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. |
first_indexed | 2024-12-13T08:20:26Z |
format | Article |
id | doaj.art-a2601c8dcfcb457c8d5e7e548a883663 |
institution | Directory Open Access Journal |
issn | 2076-3417 |
language | English |
last_indexed | 2024-12-13T08:20:26Z |
publishDate | 2019-09-01 |
publisher | MDPI AG |
record_format | Article |
series | Applied Sciences |
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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