Results 31 to 40 of about 155,196 (309)
Detection and Tracking of Humans and Faces
EURASIP 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
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On using gait to enhance frontal face extraction [PDF]
, 2012 Visual surveillance finds increasing deployment formonitoring urban environments. Operators need to be able to determine identity from surveillance images and often use face recognition for this purpose.
Jung, Sung Uk, Nixon, Mark S.
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Historical Blurry Video-Based Face Recognition
Journal of ImagingFace 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
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Facial feature extraction and principal component analysis for face detection in color images [PDF]
, 2004 A hybrid technique based on facial feature extraction and Principal Component Analysis (PCA) is presented for frontal face detection in color images. Facial features such as eyes and mouth are automatically detected based on properties of the associated ...
O'Connor, Noel E. +4 more
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Journal 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
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Fast Face Tracking-by-Detection Algorithm for Secure Monitoring
Applied Sciences, 2019 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 ...
Jia Su +5 more
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On importance of nose for face tracking
Proceedings of Fifth IEEE International Conference on Automatic Face Gesture Recognition, 2003 Human nose, while being in many cases the only facial feature clearly visible during the head motion, seems to be very undervalued in face tracking technology. This paper shows theoretically and by experiments conducted with ordinary USB cameras that, by properly defining nose as an extremum of the 3D curvature of the nose surface, nose becomes the ...
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Markerless 3D Face Tracking [PDF]
, 2009 We present a novel algorithm for the markerless tracking of deforming surfaces such as faces. We acquire a sequence of 3D scans along with color images at 40Hz. The data is then represented by implicit surface and color functions, using a novel partition-of-unity type method of efficiently combining local regressors using nearest neighbor searches ...
Christian Walder +4 more
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Indian Journal of Data Communication and Networking, 2022 Human faces are identified and localized via facial detection, which ignores any backdrop objects like curtains, windows, trees, etc. Each frame of the video is run through multiple stages of classifiers in OpenCV's Harr cascade, and if the frame passes through each level, the face is considered to be present; otherwise, the frame is dismissed from the
Jufin P A, Amrutha N
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Computational Visual Media, 2017 We present a novel approach for automatically detecting and tracking facial landmarks across poses and expressions from in-the-wild monocular video data, e.g., YouTube videos and smartphone recordings.
Shuang Liu +4 more
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