In this paper, we present a fully-automatic Spatio-Temporal GrabCut human segmentation methodology that combines tracking and segmentation. GrabCut initialization is performed by a HOG-based subject detection, face detection, and skin color model. Spatial information is included by Mean Shift clustering whereas temporal coherence is considered by the historical of Gaussian Mixture Models. Moreo...

An autostereoscopic display system can provide users great enjoyment of stereo visualization without the uncomfortable and inconvenient drawbacks of wearing stereo glasses or Head-Mounted Displays. In order to render stereo video with respect to user’s view points and to accurately project stereo video onto the user’s eyes, the left and right eye positions of the user, who is allowed to move ar...

Face diarization, i.e. face tracking and clustering within video documents, is useful and important for video indexing and fast browsing but it is also a difficult and time consuming task. In this paper, we address the tracking aspect and propose a novel algorithm with two main contributions. First, we propose an approach that leverages state-of-the-art deformable partbased model (DPM) face det...

Fiibding human f a c e s automatically in a scene is a d i f f i c u l t yet significant problem. T h i s i s the first important step in a f u l l y automatic human f a c e recogiiition system. In this pap,er w e p ~ ~ p o ~ e a new method lo locate human f a c e s in a complex background. T h i s Jystem utilizes a hierarchical know ledge-based method and consists of three levels. T h e higher...

In high dynamic conditions, using vector tracking loops instead of scalar tracking loops in GPS receivers is proved as an efficient method to compensate the performance. The Minimum Mean Squared Error detector as a multiuser detector is applied in the vector tracking loop for more reliability and efficiency. The Kalman filter does the two tasks of tracking and extracting the navigation data aft...

This study proposes a general diagnostic approach based on a camera based eye-tracking technique and a discrete Kalman filter as an iris tracker. In an event driven scenario, the proposed iris-tracking method is used to locate and track the subject’s eye movement and gesture by comparing it to a set of classified normal and typical gestures. The database is based on available videos as well as ...

Purpose – This paper presents a novel hands-free control system for intelligent wheelchairs (IWs) based on visual recognition of head gestures. Design/methodology/approach – A robust head gesture-based interface (HGI), is designed for head gesture recognition of the RoboChair user. The recognised gestures are used to generate motion control commands to the low-level DSP motion controller so tha...

Nowadays, video surveillance of people must ensure privacy. In this paper, we propose a seamless solution to that problem by masking faces in video sequences, which keeps people anonymous. The system consists of two modules. First, an analysis module identifies and follows regions of interest (ROI's) where faces are detected. Second, the JPEG 2000 encoding module compresses the frames keeping t...

In vision based hand tracking systems color plays an important role for detection. Skin color detection is widely used in different interactive applications, e.g. face and hand tracking, detecting people in video databases. This paper implements an effective hand tracking technique which is based on color detection. In this techniques based on the color distribution the segmentation of hand fro...

This paper describes the design and implementation of a architecture that can continously monitor and track selected face in real time by controlling camera motion around. Dection and tracking of face has been an significant and dynamic investigation domain because it provides many application, primarily in video coding, video surveillance, biometry or Video Identity Resolution. But detection a...