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Angry faces are tracked more easily than neutral faces during multiple identity tracking
Cognition and Emotion, 2017We investigated whether and how emotional facial expressions affect sustained attention in face tracking. In a multiple-identity and object tracking paradigm, participants tracked multiple target faces that continuously moved around together with several distractor faces, and subsequently reported where each target face had moved to.
Jie Li +3 more
openaire +4 more sources
Face Tracking Robot testbed for Performance Assessment of Machine Learning Techniques
2019 7th International Conference on Smart Computing & Communications (ICSCC), 2019Computer vision is an essential part of robotics. Face detection and tracking has improved with improvements in machine learning techniques. Various techniques has been proposed which work well with high performance computing facilities.
Nithin P.B +4 more
semanticscholar +1 more source
Stabilized real-time face tracking via a learned dynamic rigidity prior
ACM Transactions on Graphics, 2018Despite the popularity of real-time monocular face tracking systems in many successful applications, one overlooked problem with these systems is rigid instability.
Chen Cao +3 more
semanticscholar +1 more source
A multi-agent dynamic system for robust multi-face tracking
Expert systems with applications, 2019The paper presents a new architecture framework in the field of expert and intelligent systems which is based on four paradigms: a novel multi-agent dynamic system architecture (MADS), an extended Belief Desire Intention (EBDI) agent community, autonomy ...
L. Maleš, Darijan Marcetic, S. Ribaric
semanticscholar +1 more source
Efficient face detection and tracking in video sequences based on deep learning
Information Sciences, 2021Video-based face detection and tracking technology has been widely used in video surveillance, safe driving, and medical diagnosis. In video sequences, most existing face detection and tracking methods face interference caused by occlusion, ambient ...
Guangyong Zheng, Yuming Xu
semanticscholar +1 more source
2009 International Conference on Measuring Technology and Mechatronics Automation, 2009
The Camshift algorithm fails to track face easily while it is occluded, so a new face tracking method is proposed in this paper. This method combines the Camshift algorithm and the GM(1,1) model with optimized background values. By using moving vector information, this method can effectively track face even occluded by other static objects. The GM(1,1)
Jianxiong Tang, Jianxin Zhang
openaire +1 more source
The Camshift algorithm fails to track face easily while it is occluded, so a new face tracking method is proposed in this paper. This method combines the Camshift algorithm and the GM(1,1) model with optimized background values. By using moving vector information, this method can effectively track face even occluded by other static objects. The GM(1,1)
Jianxiong Tang, Jianxin Zhang
openaire +1 more source
A Prior-Less Method for Multi-face Tracking in Unconstrained Videos
2018 IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2018This paper presents a prior-less method for tracking and clustering an unknown number of human faces and maintaining their individual identities in unconstrained videos.
Chung-Ching Lin, Ying Hung
semanticscholar +1 more source
Automatic face feature tracking
Proceedings of IEEE. IEEE Region 10 Conference. TENCON 99. 'Multimedia Technology for Asia-Pacific Information Infrastructure' (Cat. No.99CH37030), 2003A reliable face tracking can be obtained by integrating of the region detection, feature locating and tracking. To detect the face feature region, we used the mean shift method that is a clustering technique for multivariate data, and to track face landmark features, we also used the STK tracking method.
null Kyung-Chan Jin, null Jin-Ho Cho
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Real-time Face Tracking for Human-Robot Interaction
2018 International Conference on Information and Communication Technology Robotics (ICT-ROBOT), 2018This paper proposes a real-time human face tracking to be used for human robot interaction (HRI). The system consists of human face like region detection, its tracking and camera motion control according to the displacement between the time interval. The
M. D. Putro, K. Jo
semanticscholar +1 more source
International Symposium on Telecommunications, 2018
Thermal infrared imaging is an emerging imaging modality allowing capturing heat radiation not detectable in the visible spectrum. In recent years, numerous applications of thermal infrared imaging for the processing of face images have been published ...
M. Kopaczka +4 more
semanticscholar +1 more source
Thermal infrared imaging is an emerging imaging modality allowing capturing heat radiation not detectable in the visible spectrum. In recent years, numerous applications of thermal infrared imaging for the processing of face images have been published ...
M. Kopaczka +4 more
semanticscholar +1 more source