Results 1 to 10 of about 155,196 (309)

Sensor-Assisted Face Tracking

open access: yesInternational Journal of Distributed Sensor Networks, 2015
Generally, face detection and tracking focus only on visual data analysis. In this paper, we propose a novel method for face tracking in camera video. By making use of the context metadata captured by wearable sensors on human bodies at the time of video
Dingbo Duan, Jian Ma
doaj   +2 more sources

Machine Learning Models for the Classification of Sleep Deprivation Induced Performance Impairment During a Psychomotor Vigilance Task Using Indices of Eye and Face Tracking [PDF]

open access: yesFrontiers in Artificial Intelligence, 2020
High risk professions, such as pilots, police officers, and TSA agents, require sustained vigilance over long periods of time and/or under conditions of little sleep. This can lead to performance impairment in occupational tasks.
Matthew S. Daley   +5 more
doaj   +2 more sources

Face Tracking in the Compressed Domain [PDF]

open access: yesEURASIP Journal on Advances in Signal Processing, 2006
A compressed domain generic object tracking algorithm offers, in combination with a face detection algorithm, a low-compu-tational-cost solution to the problem of detecting and locating faces in frames of compressed video sequences (such as MPEG-1 or ...
Fonseca Pedro Miguel, Nesvadba Jan
doaj   +2 more sources

A fusion method for robust face tracking [PDF]

open access: yesMultimedia Tools and Applications, 2015
Face tracking often encounters drifting problems, especially when a significant face appearance variation occurs. Many trackers suffer from the difficulty of facial feature extraction during a wide range of face turning, occlusion, and even invisibleness. In this paper, we propose a novel and efficient fusion strategy for robust face tracking.
Hui Yu, Yang Lu, Honghai Liu
exaly   +4 more sources

Low-Cost Human–Machine Interface for Computer Control with Facial Landmark Detection and Voice Commands

open access: yesSensors, 2022
Nowadays, daily life involves the extensive use of computers, since human beings are immersed in a technological society. Therefore, it is mandatory to interact with computers, which represents a true disadvantage for people with upper limb disabilities.
Pablo Ramos   +4 more
doaj   +1 more source

Inr tracking with face-to-face and phone app

open access: yesMedicine, 2023
Background: Warfarin has a narrow therapeutic window. Maintaining the patient’s international normalized ratio (INR) within a predefined therapeutic range is one of the main challenges of warfarin treatment. This study aimed to compare the INR values of patients followed by face-to-face and telephone applications.
Muhammet Onur Hanedan   +6 more
openaire   +2 more sources

An Adaptive Face Tracker with Application in Yawning Detection

open access: yesSensors, 2020
In this work, we propose an adaptive face tracking scheme that compensates for possible face tracking errors during its operation. The proposed scheme is equipped with a tracking divergence estimate, which allows to detect early and minimize the face ...
Aasim Khurshid, Jacob Scharcanski
doaj   +1 more source

You Look like You’ll Buy It! Purchase Intent Prediction Based on Facially Detected Emotions in Social Media Campaigns for Food Products

open access: yesComputers, 2023
Understanding the online behavior and purchase intent of online consumers in social media can bring significant benefits to the ecommerce business and consumer research community.
Katerina Tzafilkou   +2 more
doaj   +1 more source

Fusion of Multi-Intensity Image for Deep Learning-Based Human and Face Detection

open access: yesIEEE Access, 2022
For ordinary IR-illuminators in nighttime surveillance system, insufficient illumination may cause misdetection for faraway object while excessive illumination leads to over-exposure of nearby object.
Peggy Joy Lu, Jen-Hui Chuang
doaj   +1 more source

Multi-face recognition and dynamic tracking based on reinforcement learning algorithm [PDF]

open access: yesMATEC Web of Conferences, 2021
Aiming at the problem that the current low accuracy rate of face detection and target tracking, a reinforcement learning algorithm is proposed, which integrates face detection technology and target tracking technology organically, adopts the face ...
Li Yuxin, Xie Yinggang, Lu Xi
doaj   +1 more source

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