Face recognition is increasingly employed by public safety organizations in decision support systems for video surveillance, to detect the presence of individuals of interest. In the context of spatiotemporal face recognition, tracking is an important function used to locate, follow and regroup faces of different individuals in a scene. Techniques for face tracking in video surveillance should ...

We present an approach to real-time person tracking in crowded and/or unknown environments using integration of multiple visual modalities. We combine stereo, color, and face detection modules into a single robust system, and show an initial application in an interactive, faceresponsive display. Dense, real-time stereo processing is used to isolate users from other objects and people in the bac...

Combining two sophisticated techniques of motion detection and template matching, this paper proposes a simple but effective algorithm for detection and tracking of human faces. First, we use a statistical model of skin color and shape information to detect face in the first frame, and initialize it as an appearance-based intensity template for subsequent tracking. Second, incorporating backgro...

Face detection has been an important research topic over the last 20 years. It is commonly used as a first step in face recognition and several techniques were applied in face detection, going from geometrical methods such as model matching to connectionist methods such as neural networks. This work presents a face detection system that uses a Bayesian network to combine information from differ...

Two of the most important aspects in the general research framework of face recognition by computer are addressed here: face and facial feature detection, and face recognition -or rather face comparison. The best reported results of the mug-shot face recognition problem are obtained with elastic matching using jets. In this approach, the overall face detection, facial feature localization, and ...

Nowadays accessibility to new technologies for everyone is a task to accomplish. A way to contribute to this aim is creating new interfaces based on computer vision using low cost devices such as webcams. In this paper a face-based perceptual user interface is presented. Our approach is divided in four steps: automatic face detection, best face features detection, feature tracking and face gest...

Multiple people detection and tracking is a challenging task in real-world crowded scenes. In this paper, we have presented an online multiple people tracking-by-detection approach with a single camera. We have detected objects with deformable part models and a visual background extractor. In the tracking phase we have used a combination of support vector machine (SVM) person-specific classifie...

This paper presents a hierarchical multi-state pose-dependent approach for facial feature detection and tracking under varying facial expression and face pose. For effective and efficient representation of feature points, a hybrid representation that integrates Gabor wavelets and gray-level profiles is proposed. To model the spatial relations among feature points, a hierarchical statistical fac...