Results 21 to 30 of about 142,458 (260)

Pemanfaatan Metode Template Matching untuk Face Tracking secara Real Time di Ruang Tertutup

open access: yesTechne, 2015
Perekaman video biasanya dilakukan secara manual oleh seorang juru kamera. Juru kamera harus berkonsentrasi dengan objek yang direkam agar tidak ketinggalan sedetik moment pun yang bisa membuat buyar kesan suatu liputan selain itu dibutuhkannya tenaga ...
Efraim Anggriyono   +2 more
doaj   +1 more source

Deteksi dan Pelacakan Wajah Berdasarkan Warna Kulit Menggunakan Partikel Filter

open access: yesJurnal Rekayasa Elektrika, 2018
Face detection and tracking are one of the areas which always in progress in many applications such as security system, biometric and so on. However, face detection and tracking can become a complex problem when it is done in real time condition.
Budi Sugandi
doaj   +1 more source

Head pose estimation & TV Context: current technology

open access: yesEAI Endorsed Transactions on Creative Technologies, 2015
With the arrival of low-cost high quality cameras, implicit user behaviour tracking is easier and it becomes very interesting for viewer modelling and content personalization in a TV context.
Francois Rocca   +5 more
doaj   +1 more source

Real-Time Facial Motion Capture Using a Webcam

open access: yesCommunications, 2016
In this paper, we create a software which would be able to combine marker and marker-less face tracking for the purpose of the creation of the accurate and real time running 3D facial animation inside the Cinema 4D. The aim is develop a powerful piece of
Peter Kajan   +5 more
doaj   +1 more source

Real-Time Driver-Drowsiness Detection System Using Facial Features

open access: yesIEEE Access, 2019
The face, an important part of the body, conveys a lot of information. When a driver is in a state of fatigue, the facial expressions, e.g., the frequency of blinking and yawning, are different from those in the normal state.
Wanghua Deng, Ruoxue Wu
doaj   +1 more source

High-performance face tracking

open access: yesProceedings of the 3rd Symposium on Facial Analysis and Animation, 2012
Face tracking is an extensively studied field. Nevertheless, it is still a challenge to make a robust and efficient face tracker, especially on mobile devices. This extended abstract briefly describes our implementation of a high-performance multi-platform face and facial feature tracking system.
Markuš, Nenad   +4 more
openaire   +4 more sources

Detection and Tracking of Humans and Faces

open access: yesEURASIP Journal on Image and Video Processing, 2008
Abstract We present a video analysis framework that integrates prior knowledge in object tracking to automatically detect humans and faces, and can be used to generate abstract representations of video (key-objects and object trajectories). The analysis framework is based on the fusion of external knowledge, incorporated in a person and in a face ...
Stefan M. Karlsson   +2 more
openaire   +3 more sources

Face-TLD: Tracking-Learning-Detection applied to faces [PDF]

open access: yes2010 IEEE International Conference on Image Processing, 2010
A novel system for long-term tracking of a human face in unconstrained videos is built on Tracking-Learning-Detection (TLD) approach. The system extends TLD with the concept of a generic detector and a validator which is designed for real-time face tracking resistent to occlusions and appearance changes.
Zdenek Kalal   +2 more
openaire   +3 more sources

Historical Blurry Video-Based Face Recognition

open access: yesJournal of Imaging
Face recognition is a widely used computer vision, which plays an increasingly important role in user authentication systems, security systems, and consumer electronics.
Lujun Zhai   +5 more
doaj   +1 more source

Classification of Children With Autism and Typical Development Using Eye-Tracking Data From Face-to-Face Conversations: Machine Learning Model Development and Performance Evaluation

open access: yesJournal of Medical Internet Research, 2021
BackgroundPrevious studies have shown promising results in identifying individuals with autism spectrum disorder (ASD) by applying machine learning (ML) to eye-tracking data collected while participants viewed varying images (ie ...
Zhong Zhao   +5 more
doaj   +1 more source

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