Face detection and tracking are of the most challenging problems of the object tracking field because of the large variability of faces and facial expressions. In this paper, two different algorithms for face tracking based on unscented Kalman filter (UKF) are proposed. The first proposed algorithm is UKF based on Viola-Jones algorithm. Viola-Jones is extremely fast feature computation, efficie...

This paper describes an algorithm for human tracking using vision sensing, specially designed for a human machine interface of a mobile robotic platforms or autonomous vehicles. The solution presents a clear improvement on a tracking algorithm achieved by using a machine learning approach for visual object detection and recognition for data association. The system is capable of processing image...

In the context of post-production for the movie industry, localization of a 3D face in an image sequence is a topic, with a growing interest. It’s not only a face detection (already done!), but an accurate 3D face localization, an accurate face expression recognition, coupled with the localization, allowing to track a real “living” faces (with speech and emotion). To obtain a faithful tracking,...

Abs t r ac t . We present a neural network approach to human face detection. Using a modular system, a conditional mixture of networks, we a r e able to detect front view faces as well as turned faces (up to 50 degrees) with excellent performances. This modular network is integrated into LISTEN, our face tracking system. It enables this system to detect and track in real-time faces in a variety...

An automatic lips detection and tracking system based on watershed segmentation and H approach is presented. For some of the lips detection systems, skin/non-skin detection is a prerequisite step to localise the face region and the lips region is then detected from the face region. In this paper, a direct lips detection technique using watershed segmentation without needing preliminary face loc...

Human face detection plays an important role in application such as video surveillance, human computer interface, face recognition and face image database management. Automatic detection of facial features of image is an important stage of various image interpretation works, such as facial expression recognition, face recognition, facial features tracking and 3D face modeling etc. Detection of ...

An efficient face detection algorithm which can detect multiple faces oriented in any directions in a cluttered environment is proposed. In this paper, a morphology-based technique is first devised to perform eye-analogue segmentation. Next, the previously located eyeanalogue segments are used as guides to search for potential face regions. Then, each of these potential face images is normalize...

This paper describes the AIT system for 2D face tracking and the results obtained in the CLEAR 2007 evaluations. The system is based on the complementary operation of a set of face detectors and a deterministic tracker based on color. To minimize false positives, the system is applied on the body regions provided by a stochastic body tracker, and utilizes a detection validation scheme based on ...

There’s some very important meaning in the study of realtime face recognition and tracking system for the video monitoring and artifical vision. The current method is still very susceptible to the illumination condition, non-real time and very common to fail to track the target face especially when partly covered or moving fast. In this paper, we propose to use Boosted Cascade combined with ski...