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Colour Invariant Head Pose Classification in Low Resolution Video
2008
Procedings of the British Machine Vision Conference 2008
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This paper presents an algorithm for the classification of head pose in low resolution video. ...
Results from video sequences demonstrate that an improved posterior estimation using learnt colour distributions reduces classification error and provides accurate pose information in images where the ...
Conclusion It has been shown that segmented head images provide enough information to allow pose estimation in low resolution video, removing the need for any assumptions about hair or skin colours. ...
doi:10.5244/c.22.49
dblp:conf/bmvc/BenfoldR08
fatcat:di2ze4eqnzcbldydvucr72syey
Review of person re-identification techniques
2014
IET Computer Vision
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In all of the existing re-identification approaches, feature vectors are extracted from segmented still images or video frames. ...
Person re-identification across different surveillance cameras with disjoint fields of view has become one of the most interesting and challenging subjects in the area of intelligent video surveillance ...
employed in combination with low-resolution cameras. ...
doi:10.1049/iet-cvi.2013.0180
fatcat:n5y3x2ooqjeo3iarj7g7nxvpti
Real-time Full-body Visual Traits Recognition from Image Sequences
[article]
2010
International Symposium on Vision, Modeling, and Visualization
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Obviously full-body classification is more challenging, mainly due to large variations in body pose, clothing and occlusion. ...
Few systems have recently applied recognition on low resolution full-body images, which shows lower performance than the facial regions but already can deliver classification results even if no face is ...
All images have a relatively low resolution of 64 × 128 pixels with the person centered taking approx. 100 pixels in height (figure 4 ). ...
doi:10.2312/pe/vmv/vmv10/057-064
dblp:conf/vmv/JungTW10
fatcat:yxarytmyordlnjksb3xhgl45ki
Automated Person Identification in Video
[chapter]
2004
Lecture Notes in Computer Science
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We describe progress in the automatic detection and identification of humans in video, given a minimal number of labelled faces as training data. ...
The method we have developed combines approaches from computer vision, for detection and pose estimation, with those from machine learning for classification. ...
We must cope with large changes in scale: faces vary in size from 200 pixels to as little as 15 pixels (i.e. very low resolution), partial occlusion, varying lighting, poor image quality, and motion blur ...
doi:10.1007/978-3-540-27814-6_36
fatcat:7tpocsxagrfcbjhtixwydlqzc4
Semi-supervised intelligent surveillance system for secure environments
2010
2010 IEEE International Symposium on Industrial Electronics
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Recent advances in these computer vision modules and capability gaps in surveillance technology are also highlighted. ...
critical surveillance tasks including: the management and calibration of cameras within a multi-camera network; tracking of objects across multiple views; recognition of people utilising biometrics and in ...
This helps improve image fidelity and recognition rates when dealing with low-resolution faces and silhouettes. ...
doi:10.1109/isie.2010.5636922
fatcat:hsuepfx5evbmvir5zv2726jo3e
Automatic Detection of ADHD and ASD from Expressive Behaviour in RGBD Data
[article]
2016
arXiv
pre-print
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To do so, we conduct the questionnaires in a computer-mediated way while recording participants with modern RGBD (Colour+Depth) sensors. ...
in adults. ...
This resulted in a 54 dimensional head pose vector F hp , for each video segment.
4) Speed of head movement: Dynamics of head motion has been a less researched aspect in the field of psychological disorders ...
arXiv:1612.02374v1
fatcat:vozzds5htjg4hbcdfu2jtyiocq
Fully automated image-based estimation of postural point-features in children with cerebral palsy using deep learning
2019
Royal Society Open Science
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Three expert operators manually annotated 13 point-features in every fourth image of 177 short (5-10 s) videos (25 Hz) of 12 children with cerebral palsy (aged: 4.52 ± 2.4 years), participating in SATCo ...
Truncal segment angles (head, neck and six thoraco-lumbar-pelvic segments) were estimated with error 6.4 ± 2.8°, allowing accurate classification (F 1 > 80%) of deviation from a reference posture at thresholds ...
The authors express sincere thanks to the children whose data were used in this study, their families and to the staff of The Movement Centre, Oswestry, UK. royalsocietypublishing.org/journal/rsos R. ...
doi:10.1098/rsos.191011
pmid:31827842
pmcid:PMC6894590
fatcat:uvuquqn5bnbylcnxqmsy7htrnq
Review of constraints on vision-based gesture recognition for human–computer interaction
2018
IET Computer Vision
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Current challenges are explored in detail. ...
The ability of computers to recognize hand gestures visually is essential for progress in human-computer interaction. ...
Using a single colour video camera and consequently the projection of the 3D scene on a 2D plane results in the loss of depth information. ...
doi:10.1049/iet-cvi.2017.0052
fatcat:fs2l3o27vveqjlanldjmziuudi
Efficient CNN Implementation for Eye-Gaze Estimation on Low-Power/Low-Quality Consumer Imaging Systems
[article]
2018
arXiv
pre-print
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Such systems are required to operate reliably in difficult, unconstrained environments with low power consumption and at minimal cost. ...
In this paper a new hardware friendly, convolutional neural network model with minimal computational requirements is introduced and assessed for efficient appearance-based gaze estimation. ...
Another high resolution, head-pose-invariant tracking method that does not require geometric models is presented by [19] . ...
arXiv:1806.10890v1
fatcat:cp6k4rx3gzc33morknlhcpw7di
Deep Head Pose: Gaze-Direction Estimation in Multimodal Video
2015
IEEE transactions on multimedia
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In this paper we present a convolutional neural network (CNN)-based model for human head pose estimation in low-resolution multi-modal RGB-D data. ...
We present state-of-the-art results in datasets that span the range of high-resolution human robot interaction (close up faces plus depth information) data to challenging low resolution outdoor surveillance ...
Head Pose Estimation The pioneering work on low resolution head pose estimation was proposed by Robertson and Reid [4] which used a detector based on template training to classify head poses in eight ...
doi:10.1109/tmm.2015.2482819
fatcat:qrz7fhtnynbjbfwt6eqlr4enw4
Automatic Detection of ADHD and ASD from Expressive Behaviour in RGBD Data
2017
2017 12th IEEE International Conference on Automatic Face & Gesture Recognition (FG 2017)
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To do so, we conduct the questionnaires in a computer-mediated way while recording participants with modern RGBD (Colour+Depth) sensors. ...
in adults. ...
This resulted in a 54 dimensional head pose vector F hp , for each video segment.
4) Speed of head movement: Dynamics of head motion has been a less researched aspect in the field of psychological disorders ...
doi:10.1109/fg.2017.95
dblp:conf/fgr/JaiswalVGD17
fatcat:pyi257pv3jezpp2q7ihvqni6tq
Automated Face Recognition: Challenges and Solutions
[chapter]
2016
Pattern Recognition - Analysis and Applications
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involves important variations in both acquisition conditions as well as in facial expressions and in pose changes. ...
Automated face recognition (AFR) aims to identify people in images or videos using pattern recognition techniques. ...
, low resolution and out-of-focus faces. ...
doi:10.5772/66013
fatcat:hty4tc6i6zaq5m3fxh7stn4via
Human action recognition using an ensemble of body-part detectors
2011
Expert systems
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Three example-based body part detectors are trained to detect three components of the human body: the head, the legs and the arms. ...
Grouping of these detections is then performed using a simple geometric constraint model which yields a viewpoint invariant human detector. ...
HumanEva dataset contains 7 calibrated video sequences (4 grayscale and 3 colour) that are synchronized with 3D body poses obtained from a motion capture system. ...
doi:10.1111/j.1468-0394.2011.00610.x
fatcat:x6ermka5pve2tih3syfoilz2fm
Head Direction Estimation from Silhouette
[chapter]
2013
Lecture Notes in Computer Science
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Due to the absence of features that may be extracted from face, heading direction estimation for low resolution images is a difficult task and requires the taking into account all information that may ...
We propose in this paper a set of geometric features extracted from shape head-shoulders, feet and knees shapes which jointly allow the estimation of body direction. ...
Using multiple views camera, Voit et al [17] estimate head pose for low resolution image by appearance-based method. ...
doi:10.1007/978-3-642-41181-6_35
fatcat:nnoonfhbqvfljedxlooqnsueva
Pre-Attentive Face Detection for Foveated Wide-Field Surveillance
2005
2005 Seventh IEEE Workshops on Applications of Computer Vision (WACV/MOTION'05) - Volume 1
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This problem may be overcome by combining a fixed, preattentive, low-resolution wide-field camera with a shiftable, attentive, high-resolution narrow-field camera. ...
Unfortunately, the low image resolution of the widefield sensor precludes the use of most conventional facedetection algorithms. ...
We present a robust method for locating potential head regions in very low resolution images. This technique combines three weak cues: skin colour, motion, and foreground extraction. ...
doi:10.1109/acvmot.2005.95
dblp:conf/wacv/PrinceEHS05
fatcat:5t34jhjdmzaqdcu4chrtmcwita
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