This master thesis deals with real-time algorithms and techniques for face detection and facetracking in videos. A new approach is presented where optical flow information is incorporatedinto the Viola-Jones face detection algorithm, allowing the algorithm to update the expectedposition of detected faces in the next frame. This continuity between video frames is not exploitedby the original algorithm from Viola and Jones, in which face detection is static asinformation from previous frames is not considered.In contrast to the Viola-Jones face detector and also to the Kanade-Lucas-Tomasi tracker, theproposed face tracker preserves information about near-positives.In general terms the developed algorithm builds a likelihood map from results o...
AbstractRecognizing and tracking a face in a video sequence is a challenging task, specially when de...
This is a project to develop an e-mail application using HCI features helping users check their mail...
In this note it is discussed how face detection and tracking in video can be achieved relying on a d...
This master thesis deals with real-time algorithms and techniques for face detection and facetrackin...
In this paper a novel face tracking approach is presented where optical flow information is incorpor...
In this paper a novel face tracking approach is presented where optical flow information is incorpor...
In this paper a novel face tracking approach is presented where optical flow information is incorpor...
We present a novel face tracking approach where optical flow information is incorporated into a modi...
International audienceThis paper presents a new probabilistic method for detecting and tracking mult...
A robust facial feature tracking system using the Autoregressive model based prediction and the opti...
A robust facial feature tracking system using the Autoregressive model based prediction and the opti...
The goal with this project was to improve an existing face recognition system for video streams by u...
The project is focused on face detection in video. Firstly, it contains a summary of basic color mod...
The development of the Internet of Things (IoT) stimulates many research works related to Multimedia...
This paper presents an algorithm for the detection and tracking of the face and facial features in v...
AbstractRecognizing and tracking a face in a video sequence is a challenging task, specially when de...
This is a project to develop an e-mail application using HCI features helping users check their mail...
In this note it is discussed how face detection and tracking in video can be achieved relying on a d...
This master thesis deals with real-time algorithms and techniques for face detection and facetrackin...
In this paper a novel face tracking approach is presented where optical flow information is incorpor...
In this paper a novel face tracking approach is presented where optical flow information is incorpor...
In this paper a novel face tracking approach is presented where optical flow information is incorpor...
We present a novel face tracking approach where optical flow information is incorporated into a modi...
International audienceThis paper presents a new probabilistic method for detecting and tracking mult...
A robust facial feature tracking system using the Autoregressive model based prediction and the opti...
A robust facial feature tracking system using the Autoregressive model based prediction and the opti...
The goal with this project was to improve an existing face recognition system for video streams by u...
The project is focused on face detection in video. Firstly, it contains a summary of basic color mod...
The development of the Internet of Things (IoT) stimulates many research works related to Multimedia...
This paper presents an algorithm for the detection and tracking of the face and facial features in v...
AbstractRecognizing and tracking a face in a video sequence is a challenging task, specially when de...
This is a project to develop an e-mail application using HCI features helping users check their mail...
In this note it is discussed how face detection and tracking in video can be achieved relying on a d...