This paper presents an algorithm for 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 specific interest model to the detec...

Tracking the head and hand in real-time are important tasks for developing an intuitive interaction system. We present a system for robust probabilistic tracking that integrates face detection, face and hand color tracking and foot tracking in a uniform way by using particle filters. The advantages of different cues like motion, color and face detection are combined to yield robust 2D and 3D po...

A joint probabilistic face detection and tracking algorithm for combining a likelihood estimation and a prior probability is proposed in this paper. Face tracking is achieved by a Bayesian framework. The likelihood estimation scheme is based on statistical training of sets of automatically generated feature points, while the prior probability estimation is based on the fusion of an information ...

To detect and track eye images, distinctive features of user eye are used. Generally, an eye-tracking and detection system can be divided into four steps: Face detection, eye region detection, pupil detection and eye tracking. To find the position of pupil, first, face region must be separated from the rest of the image using mixture of Gaussian, this will cause the images background to be non ...

In this paper we present an application on real-time face tracking and replacement. We implement this application through three sections: detection, tracking and replacement. For detection, we use haar features based cascade classifiers to detect the face, eyes and nose on both target and source images. Then face tracking is implemented by two distinct methods: CAMShift and Optical Flow. In cas...

Human face, the most active and healthy part of human body and Eyes are one of the most complex features of it. It may be used to reduce some of their critical life complexities. Eye blinking is one of the prominent areas to solve many real world problems. The process of blink detection consists of two phases. These are eye tracking followed by detection of blink. The work that has been carried...

Multiple face tracking plays a key role in applications related to security-surveillance, human-computer interactions, video indexing etc. Existing literature in face tracking has mainly focused on facial features from a detection/recognition viewpoint. On the other hand, we believe that reasoning with detected/tracked face regions has a strong role in multiple face tracking. We propose a reaso...