This paper presents an algorithm that categorises animal behaviour using detection and tracking of animal faces in wildlife videos. As an example, the algorithm is applied to lion faces. The detection algorithm is based on a human face detection method, utilising Haar-like features and AdaBoost classifiers. The face tracking is implemented using the Kanade-Lucas-Tomasi tracker and by applying a...

It is possible to classify the face detection algorithms according to three categories. Very simple algorithms (based on averages of pixel) allowing the detection of face lling up most of the image, complex algorithms (PCA, neural networks) allowing to detect small and big faces and nally intermediate algorithms (often based on contours and skin color detection) allowing the localization of med...

This paper proposes an active appearance model (AAM) based human computer interface (HCI) to control an intelligent wheelchair (IW), namely, RoboChair. Adaboost is applied as the face detection module, while AAM is used to undertake face tracking task. Inverse compositional image alignment is implemented to fit the trained AAM. Subsequently, an straightforward method is carried out to estimate ...

The human face is central to our identity. It plays an essential role in everyday interaction, communication and other routine activities. Thus, face detection and tracking algorithms are of great importance for human-machine interaction. It is an extensively studied field and a large body of research has been done. This paper gives a a broad overview of basic principles and some representative...

The human face is central to our identity. It plays an essential role in everyday interaction, communication and other routine activities. Thus, face detection and tracking algorithms are of great importance for human-machine interaction. It is an extensively studied field and a large body of research has been done. This paper gives a a broad overview of basic principles and some representative...

In the context of Human-Robot interaction estimating gaze orientation brings useful information about human focus of attention. This is a contextual information : when you point something you usually look at it. Estimating gaze orientation requires head pose estimation. There are several techniques to estimate head pose from images, they are mainly based on training [3, 4] or on local face feat...

Automatic detection of facial feature points plays an important role in applications such as facial feature tracking, human-machine interaction and face recognition. The majority of facial feature points detection methods using two-dimensional or three-dimensional data are covered in existing survey papers. In this article chosen approaches to the facial features detection have been gathered an...

This paper deals with face detection and tracking by computer vision for multimedia applications. Contrary to current techniques that are based on huge learning databases and complex algorithms to get generic face models (e.g. active appearance models), the proposed method handles simple contextual knowledge representative of the application background thanks to a quick supervised initializatio...