A system for enhancing the situational awareness in an outdoor scenario by Augmented Reality (AR) techniques can utilize visual clues for improving registration precision. If visible, terrain silhouettes provide unique features to be matched with digital elevation map (DEM) data. The best match of a visually extracted silhouette with the DEM silhouette provides camera/observer orientation (elev...

Extracting a human silhouette from a video sequence is the enabling step for many high-level vision processing tasks, such as people tracking, video surveillance, and mobility assessment. Silhouette extraction schemes are widely explored in the literature, but most approaches work efficiently only in constrained environments where the background is relatively static. How to accurately and effec...

In this paper a region based technique is proposed to search complex human activity in a video. Most of the current activity recognition systems deals with single action type but in this system, by taking meaningful composition of different types of human actions, complex human activity is constructed which is searched in a video sequence. To extract features, this system employed the surroundi...

We present a new method for rendering silhouettes of point-based models. Due to the lack of connectivity information, most existing polygon-based silhouette generation algorithms cannot be applied to point-based models. Our method not only bypasses this connectivity requirement, but also accommodates point-based models with sparse non-uniform sampling and inaccurate/no normal information. Like ...

OBJECTIVES Excessive daytime sleepiness (EDS) is a common sleep complaint in the population and is increasingly recognised as deleterious for health. Simple and sensitive tools allowing identifying individuals at greater risk of EDS would be of public health importance. Hence, we determined trajectories of body silhouette from early childhood to adulthood and evaluated their association with ED...

In this paper, a decision support system for ship identification is presented. The system receives as input a silhouette of the vessel to be identified, previously extracted from a side view of the object. This view could have been acquired with imaging sensors operating at different spectral ranges (CCD, FLIR, image intensifier). The input silhouette is preprocessed and compared to those store...

This paper presents fast and robust per-sample correct shadows for WebGL platform. The algorithm is based on silhouette shadow volumes and it rivals the standard shadow mapping performance. Our performance is usually superior when compared with high resolution shadow maps. Moreover, it does not suffer from a number of artefacts of shadow mapping and always provides per-pixel correct results. We...

In this paper, we present a method which combines imagebased visual hull and human body part segmentation for overcoming the inability of the visual hull method to reconstruct concave regions. The virtual silhouette image corresponding to the given viewing direction is first produced with image-based visual hull. Human body part localization technique is used to segment the input images and the...

In this report, we detail a novel approach to recover 3D hand pose from 2D images. To this end, we introduce a compact 3D hand model in a low dimension space where anatomy, kinematics and dynamics are implicitly inherited. The parameters of this model are recovered through a Bayesian inference approach. To this end, we propose an objective function which aims at separating the hand-skin charact...

This paper presents a method to measure online the gait features from the gait silhouette images and reflect the gait features to CG characters for an audience-participation digital entertainment. First, both static and dynamic gait features are extracted from the silhouette images captured by the online gait measurement system with two cameras and a chroma-key background. Then, Standard Gait M...