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Fusion of Perceptual Cues using Covariance Estimation

J. Sherrah, S. Gong
1999 Procedings of the British Machine Vision Conference 1999  
The framework is demonstrated in a face and 3D pose tracking system that fuses similarity-to-prototypes measures and skin colour to track head pose and face position.  ...  The paradigm of perceptual fusion provides robust solutions to computer vision problems.  ...  Here we describe a method to track both head pose and face position by fusing similarity measures and skin colour information. This is only made robust through the estimation of their covariance.  ... 
doi:10.5244/c.13.56 dblp:conf/bmvc/SherrahG99 fatcat:h7lciyxvo5fzzpqo42jwmyn6um

Fusion of perceptual cues for robust tracking of head pose and position

Jamie Sherrah, Shaogang Gong
2001 Pattern Recognition  
The framework is demonstrated in a face and 3D pose tracking system that fuses similarity-to-prototypes measures and skin colour to track head pose and face position.  ...  erent modules can be regarded as a form of data fusion. To this end, we propose a framework for fusing di!erent information sources through estimation of covariance from observations.  ...  Here we describe a method to track both head pose and face position by fusing similarity measures and skin colour information. This is only made robust through the estimation of their covariance.  ... 
doi:10.1016/s0031-3203(00)00091-1 fatcat:gq5filr4vjd4tdtfzwbsnuvl4e

Robust Face Tracking using Multiple Appearance Models and Graph Relational Learning [article]

Tanushri Chakravorty, Guillaume-Alexandre Bilodeau, Eric Granger
2018 arXiv   pre-print
A weighted score-level fusion strategy is proposed to obtain the face tracking output having the highest fusion score by generating candidates around possible face locations.  ...  It capitalizes on the advantages of the tracking-by-detection, by using a face detector that tackles drastic scale appearance change of a face.  ...  A novel face tracking method is proposed that utilizes multiple appearance models to account for the temporal appearance matching of a target face for robust tracking. 2.  ... 
arXiv:1706.09806v2 fatcat:mkq2n6wyvnf3tegwzsmuou7fde

Robust real time face recognition and tracking on gpu using fusion of rgb and depth image [article]

Narmada Naik, G.N Rathna
2015 arXiv   pre-print
The main objective of this paper was to perform robust, high speed fusion based face recognition and tracking. The algorithm is mainly composed of three steps.  ...  First step is to detect all faces in the video using viola jones algorithm. The second step is online database generation using a tracking window on the face.  ...  CONCLUSIONS This paper discuss implementation of fusion based robust real time multiple face recognition tracking and LBP feature extraction on gpu.  ... 
arXiv:1504.01883v1 fatcat:zxsozxvcyrgbnofwfgiqqydznu

Research on a Face Real-time Tracking Algorithm Based on Particle Filter Multi-Feature Fusion

Tao Wang, Wen Wang, Hui Liu, Tianping Li
2019 Sensors  
The experimental results show that the proposed method improves the tracking effect and has strong robustness in complex backgrounds such as skin color, illumination changes and face occlusion.  ...  In this paper, a multi-feature fusion adaptive adjustment target tracking window and an adaptive update template particle filter tracking framework algorithm are proposed.  ...  Acknowledgments: We are grateful to the editors and referees for their invaluable suggestions for improving the paper. Conflicts of Interest: The authors declare no conflict of interest.  ... 
doi:10.3390/s19051245 fatcat:l2aw5zcf45adtc7xgmrxx7q76m

Multiple Faces Tracking Using Feature Fusion and Neural Network in Video

Boxia Hu, Huihuang Zhao, Yufei Yang, Bo Zhou, Alex Noel Joseph Raj
2020 Intelligent Automation and Soft Computing  
This paper proposes a framework to track multiple faces in video sequences automatically and presents an improved method based on feature fusion and neural network for multiple faces tracking in a video  ...  Secondly, to solve the problem in occasional face tracking, and improved tracking method for robust occlusion tracking based on the BP neural network (PFT_WPT_BP) is proposed.  ...  -A method based on particle filter and multiple feature fusion for faces tracking in the video is proposed. The proposed method has good performance and is robust in multiple faces tracking.  ... 
doi:10.32604/iasc.2020.011721 fatcat:j323ui7rw5c3pfknkhcdqs5tie

Multi-Modal Face Anti-Spoofing Based on Central Difference Networks [article]

Zitong Yu, Yunxiao Qin, Xiaobai Li, Zezheng Wang, Chenxu Zhao, Zhen Lei, Guoying Zhao
2020 arXiv   pre-print
Face anti-spoofing (FAS) plays a vital role in securing face recognition systems from presentation attacks.  ...  Our approach won the first place in "Track Multi-Modal" as well as the second place in "Track Single-Modal (RGB)" of ChaLearn Face Anti-spoofing Attack Detection Challenge@CVPR2020 .  ...  More recently, a few deep learning based methods are proposed for both frame level and video level face anti-spoofing.  ... 
arXiv:2004.08388v1 fatcat:5ej47ypxefd5rc4darlvcyx64i

Robust face tracking using colour Dempster-Shafer fusion and particle filter

F. Faux, F. Luthon
2006 2006 9th International Conference on Information Fusion  
The ellipse parameters are taken into account by a stochastic algorithm using a particle filter in order to realise a robust face tracking in position, size and pose.  ...  As ellipse detection gets easily disturbed in cluttered environnements by edges caused by non-face objects, a simple and fast efficient least squares method for ellipse fitting is used.  ...  The ellipse parameters (center, minor axis, major axis and orientation) are taken into account by a stochastic algorithm using a particle filter in order to realise a robust face tracking in position,  ... 
doi:10.1109/icif.2006.301713 dblp:conf/fusion/FauxL06 fatcat:pev6mauh2nbmdc7ahmtivpaym4

Table of contents

2007 2007 IEEE Conference on Advanced Video and Signal Based Surveillance  
: Sensor fusion A 2D+3D Face Identification System for Surveillance Applications 194 Filareti Tsalakanidou, Sotiris Malassiotis, Michael G.  ...  Elisabetta Farella, Luca Benini Real Time Face Recognition Using Decision Fusion of Neural Classifiers in the Visible and Thermal Data Fusion with a Multisensor System for Damage Control and Situational  ...  3-D model-based people detection & tracking 579 Giovanni Garibotto Author index 585  ... 
doi:10.1109/avss.2007.4425270 fatcat:4iz6xfdjknc5vbh4kpds4oocpm

Multi-Feature Fusion Based on Particle Filter Algorithm for Moving Target Tracking

Meng-Xin LI, Gao-Ling SU, Ying ZHANG, Chong LI
2014 Sensors & Transducers  
The fusion of feature such as color, texture, edge strength and motion has proved to be a promising approach to robust visual tracking in situations where no single feature is suitable.  ...  Due to the poor tracking performance in complicated scenarios, a new visual target tracking scheme is proposed.  ...  Target tracking methods based on multi-feature fusion have been proposed by other researchers in recent years [1] [2] [3] .  ... 
doaj:2d858d232a274d78b650a0ece577dd7e fatcat:4jxhqnyrufh7npjjcgc7xfq6gu

Recognition of Facial Expressions in the Presence of Occlusion

F Bourel, C C Chibelushi, A A Low
2001 Procedings of the British Machine Vision Conference 2001  
The proposed approach is based on a localised representation of facial features, and on data fusion. The experiments show that the proposed approach is robust to partial occlusion of the face.  ...  We present a new approach for the recognition of facial expressions from video sequences in the presence of occlusion.  ...  [8] use feature points that are automatically tracked using a hierarchical optical flow method [18] .  ... 
doi:10.5244/c.15.23 dblp:conf/bmvc/BourelCL01 fatcat:t3ek5hai6nhwngst2qf373frbi

Multi-Model Component-Based Tracking Using Robust Information Fusion [chapter]

Bogdan Georgescu, Dorin Comaniciu, Tony X. Han, Xiang Sean Zhou
2004 Lecture Notes in Computer Science  
To address these challenges we introduce a novel tracking technique that relies on component-based target representations and on robust fusion to integrate model information across frames.  ...  We pay particular attention to uncertainty handling and propagation, for component motion estimation, robust fusion across time and estimation of the similarity transform.  ...  The results for tracking a person's face is presented in Figure 2 .  ... 
doi:10.1007/978-3-540-30212-4_6 fatcat:4g7is3g6ezgrtcvyjwozhta3wi

Front Matter: Volume 10615

Hui Yu, Junyu Dong
2018 Ninth International Conference on Graphic and Image Processing (ICGIP 2017)  
The publisher is not responsible for the validity of the information or for any outcomes resulting from reliance thereon.  ...  using a Base 36 numbering system employing both numerals and letters.  ...  Label fusion based brain MR image segmentation via a latent selective model [10615-76]A fast and robust image segmentation method based on superpixels [10615-217] Blood vessels segmentation of hatching  ... 
doi:10.1117/12.2316542 fatcat:tdaw76jq6nehpnttiga2lcuhna

Multi-sensory and Multi-modal Fusion for Sentient Computing

Christopher Town
2006 International Journal of Computer Vision  
Vision techniques include background and object appearance modelling, face detection, segmentation, and tracking modules.  ...  It is shown that the fusion process significantly enhances the capabilities and robustness of both sensory modalities, thus enabling the system to maintain a richer and more accurate world model. 1 From  ...  Acknowledgements The author gratefully acknowledges financial support from the Royal Commission for the Exhibition of 1851.  ... 
doi:10.1007/s11263-006-7834-8 fatcat:xmgx64sgsncpnjm6dlrxlrs6su

Online learning and fusion of orientation appearance models for robust rigid object tracking

Ioannis Marras, Joan Alabort Medina, Georgios Tzimiropoulos, Stefanos Zafeiriou, Maja Pantic
2013 2013 10th IEEE International Conference and Workshops on Automatic Face and Gesture Recognition (FG)  
We introduce a robust framework for learning and fusing of orientation appearance models based on both texture and depth information for rigid object tracking.  ...  By combining the proposed models with a particle filter, the proposed framework was used for performing 2D plus 3D rigid object tracking, achieving robust performance in very difficult tracking scenarios  ...  This is a problem for all methods for both 3D tracking/pose estimation and 3D face recognition such as [1, 2] that are based on an accurate nose tip estimation.  ... 
doi:10.1109/fg.2013.6553798 dblp:conf/fgr/MarrasATZP13 fatcat:eqckpkxqyvfu5l7qfeqjuh4fbu
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