FRINK Linked Data Fragments server

Matches in SemOpenAlex for { <https://semopenalex.org/work/W3208169133> ?p ?o ?g. }

• W3208169133 endingPage "15" @default.
• W3208169133 startingPage "1" @default.
• W3208169133 abstract "The development of the Internet of Things (IoT) stimulates many research works related to Multimedia Communication Systems (MCS), such as human face detection and tracking. This trend drives numerous progressive methods. Among these methods, the deep learning-based methods can spot face patch in an image effectively and accurately. Many people consider face tracking as face detection, but they are two different techniques. Face detection focuses on a single image, whose shortcoming is obvious, such as unstable and unsmooth face position when adopted on a sequence of continuous images; computing is expensive due to its heavy reliance on Convolutional Neural Networks (CNNs) and limited detection performance on the edge device. To overcome these defects, this paper proposes a novel face tracking strategy by combining CNN and optical flow, namely, C-OF, which achieves an extremely fast, stable, and long-term face tracking system. Two key things for commercial applications are the stability and smoothness of face positions in a sequence of image frames, which can provide more probability for face biological signal extraction, silent face antispoofing, and facial expression analysis in the fields of IoT-based MCS. Our method captures face patterns in every two consequent frames via optical flow to get rid of the unstable and unsmooth problems. Moreover, an innovative metric for measuring the stability and smoothness of face motion is designed and adopted in our experiments. The experimental results illustrate that our proposed C-OF outperforms both face detection and object tracking methods." @default.
• W3208169133 created "2021-11-08" @default.
• W3208169133 creator A5007674328 @default.
• W3208169133 creator A5015000527 @default.
• W3208169133 creator A5028523606 @default.
• W3208169133 creator A5034507072 @default.
• W3208169133 creator A5036666128 @default.
• W3208169133 creator A5050509874 @default.
• W3208169133 creator A5083681358 @default.
• W3208169133 creator A5084523971 @default.
• W3208169133 creator A5088141052 @default.
• W3208169133 date "2021-10-31" @default.
• W3208169133 modified "2023-10-14" @default.
• W3208169133 title "A Real-Time and Long-Term Face Tracking Method Using Convolutional Neural Network and Optical Flow in IoT-Based Multimedia Communication Systems" @default.
• W3208169133 cites W1483874305 @default.
• W3208169133 cites W1857884451 @default.
• W3208169133 cites W1896977269 @default.
• W3208169133 cites W1903029394 @default.
• W3208169133 cites W1910700357 @default.
• W3208169133 cites W1964846093 @default.
• W3208169133 cites W1984525543 @default.
• W3208169133 cites W2043123015 @default.
• W3208169133 cites W2047508432 @default.
• W3208169133 cites W2056025798 @default.
• W3208169133 cites W2097860170 @default.
• W3208169133 cites W2110018117 @default.
• W3208169133 cites W2117636599 @default.
• W3208169133 cites W2121836097 @default.
• W3208169133 cites W2124211486 @default.
• W3208169133 cites W2149911829 @default.
• W3208169133 cites W2164598857 @default.
• W3208169133 cites W2168356304 @default.
• W3208169133 cites W2247274765 @default.
• W3208169133 cites W2432917172 @default.
• W3208169133 cites W2520477759 @default.
• W3208169133 cites W2594108674 @default.
• W3208169133 cites W2618530766 @default.
• W3208169133 cites W2800951337 @default.
• W3208169133 cites W2891033863 @default.
• W3208169133 cites W2963624663 @default.
• W3208169133 cites W2963905288 @default.
• W3208169133 cites W2964325361 @default.
• W3208169133 cites W2985214930 @default.
• W3208169133 cites W3097096317 @default.
• W3208169133 cites W3101998545 @default.
• W3208169133 cites W3103803119 @default.
• W3208169133 cites W3116036704 @default.
• W3208169133 cites W3117926661 @default.
• W3208169133 cites W3118968349 @default.
• W3208169133 cites W3124684701 @default.
• W3208169133 cites W3126106273 @default.
• W3208169133 cites W3127525705 @default.
• W3208169133 cites W3147822227 @default.
• W3208169133 cites W3161325351 @default.
• W3208169133 cites W3168798228 @default.
• W3208169133 cites W3170518756 @default.
• W3208169133 cites W3176731097 @default.
• W3208169133 cites W3186745756 @default.
• W3208169133 cites W3189313199 @default.
• W3208169133 cites W3201410046 @default.
• W3208169133 cites W4229439215 @default.
• W3208169133 cites W639708223 @default.
• W3208169133 doi "https://doi.org/10.1155/2021/6711561" @default.
• W3208169133 hasPublicationYear "2021" @default.
• W3208169133 type Work @default.
• W3208169133 sameAs 3208169133 @default.
• W3208169133 citedByCount "2" @default.
• W3208169133 countsByYear W32081691332022 @default.
• W3208169133 countsByYear W32081691332023 @default.
• W3208169133 crossrefType "journal-article" @default.
• W3208169133 hasAuthorship W3208169133A5007674328 @default.
• W3208169133 hasAuthorship W3208169133A5015000527 @default.
• W3208169133 hasAuthorship W3208169133A5028523606 @default.
• W3208169133 hasAuthorship W3208169133A5034507072 @default.
• W3208169133 hasAuthorship W3208169133A5036666128 @default.
• W3208169133 hasAuthorship W3208169133A5050509874 @default.
• W3208169133 hasAuthorship W3208169133A5083681358 @default.
• W3208169133 hasAuthorship W3208169133A5084523971 @default.
• W3208169133 hasAuthorship W3208169133A5088141052 @default.
• W3208169133 hasBestOaLocation W32081691331 @default.
• W3208169133 hasConcept C115961682 @default.
• W3208169133 hasConcept C144024400 @default.
• W3208169133 hasConcept C153180895 @default.
• W3208169133 hasConcept C154945302 @default.
• W3208169133 hasConcept C155542232 @default.
• W3208169133 hasConcept C2779304628 @default.
• W3208169133 hasConcept C31510193 @default.
• W3208169133 hasConcept C31972630 @default.
• W3208169133 hasConcept C36289849 @default.
• W3208169133 hasConcept C41008148 @default.
• W3208169133 hasConcept C4641261 @default.
• W3208169133 hasConcept C71681937 @default.
• W3208169133 hasConcept C81363708 @default.
• W3208169133 hasConcept C98907195 @default.
• W3208169133 hasConceptScore W3208169133C115961682 @default.
• W3208169133 hasConceptScore W3208169133C144024400 @default.
• W3208169133 hasConceptScore W3208169133C153180895 @default.
• W3208169133 hasConceptScore W3208169133C154945302 @default.

• next