Results 271 to 280 of about 5,391,987 (327)

Face verification through tracking facial features

Journal of the Optical Society of America A, 2001
We propose an algorithm for face verification through tracking facial features by using sequential importance sampling. Specifically, we first formulate tracking as a Bayesian inference problem and propose to use Markov chain Monte Carlo techniques for obtaining an empirical solution.
B, Li, R, Chellappa
openaire   +2 more sources

Face tracking with convolutional neural network heat-map

International Conference on Machine Learning and Soft Computing, 2018
In this paper, we apply a heat-map approach for human face tracking. We utilize the heat-map extracted from the convolutional neural networks (CNN) for face / non-face classification problem.
Nhu-Tai Do, Soohyung Kim, Hyung-Jeong Yang, Gueesang Lee, In Seop Na   +4 more
semanticscholar   +1 more source

Face retrieval in face track using sparse representation

2018 International Workshop on Advanced Image Technology (IWAIT), 2018
One popular approach for working on video datasets is to use face tracks [1, 2], face sequence containing faces of one person, for matching instead of single face as in static image datasets. In this article, we propose face track retrieval using sparse representation. At first, every image of face tracks is normalized to uniform size. Then, feature is
Shinfeng D. Lin, Kuanyuan Chen, Wensheng Chen   +2 more
openaire   +1 more source

A face tracking method using feature point tracking

2012 International Conference on Information Security and Intelligent Control, 2012
In the paper, we proposed a face tracking method using feature point tracking. The proposed face tracking method is composed of two parts: face detection and face tracking. To evaluate the proposed method, several videos containing different kinds of face movement are captured by using low-cost webcam. Experimental results show that our proposed method
Guo-Shiang Lin, Tung-Sheng Tsai
openaire   +1 more source

Eye Tracking Unconscious Face-to-Face Confrontations

Psychological Science, 2011
In primates, dominance/submission relationships are generally automatically and nonaggressively established in face-to-face confrontations. Researchers have argued that this process involves an explicit psychological stress-manipulation mechanism: Striding with a threatening expression, while keeping direct eye contact, outstresses rivals so that they
Terburg, D., Hooiveld, N., Aarts, H., Kenemans, J.L., van Honk, J.   +4 more
openaire   +3 more sources

Real-Time Face & Eye Tracking and Blink Detection using Event Cameras

Neural Networks, 2020
Event cameras contain emerging, neuromorphic vision sensors that capture local-light​ intensity changes at each pixel, generating a stream of asynchronous events.
Cian Ryan, Brian O'Sullivan, Amr Elrasad, Joe Lemley, Paul Kielty, C. Posch, E. Perot   +6 more
semanticscholar   +1 more source

500-fps face tracking system

Journal of Real-Time Image Processing, 2012
In this paper, we propose a high-speed vision system that can be applied to real-time face tracking at 500 fps using GPU acceleration of a boosting-based face tracking algorithm. By assuming a small image displacement between frames, which is a property of high-frame rate vision, we develop an improved boosting-based face tracking algorithm for fast ...
Idaku Ishii, Tomoki Ichida, Qingyi Gu, Takeshi Takaki   +3 more
openaire   +1 more source

Active face and feature tracking

Proceedings 10th International Conference on Image Analysis and Processing, 2003
This paper describes a method for the detection and tracking of human face and facial features. Skin segmentation is learnt from samples of an image. After detecting a moving object, the corresponding area is searched for clusters of pixels with a known distribution.
L. Jordao, M. Perrone, J.P. Costeira, J. Santos-Victor   +3 more
openaire   +1 more source

Robust multi-view face tracking

2005 IEEE/RSJ International Conference on Intelligent Robots and Systems, 2005
For face tracking in a video sequence, various face tracking algorithms have been proposed. However, most of them have a difficulty in finding the initial position and size of a face automatically. In this paper, we present a fast and robust method for fully automatic multi-view face detection and tracking.
null Kwang Ho An, null Dong Hyun Yoo, null Sung Uk Jung, null Myung Jin Chung   +3 more
openaire   +1 more source

State of the Art on Monocular 3D Face Reconstruction, Tracking, and Applications

Computer graphics forum (Print), 2018
The computer graphics and vision communities have dedicated long standing efforts in building computerized tools for reconstructing, tracking, and analyzing human faces based on visual input. Over the past years rapid progress has been made, which led to
M. Zollhöfer, Justus Thies, Pablo Garrido, D. Bradley, T. Beeler, P. Pérez, M. Stamminger, M. Nießner, C. Theobalt   +8 more
semanticscholar   +1 more source