This paper presents a new shadow detecting method for silhouette extraction of a person in gray-level video sequences. We use a shadow evaluator to verify each raw shadow pixel which was detected by Gaussian distribution analysis. The evaluator considers a raw shadow pixel initially to be a fake shadow pixel, and marks it as a silhouette pixel if it is enclosed or semienclosed by moving occlusi...

Shadows provide the human visual system with important cues to sense spatial relationships in the environment we live in. As such they are an indispensable part of realistic computer-generated imagery. Unfortunately, visibility determination is computationally expensive. Image-based simplifications to the problem such as Shadow Maps perform well with increased scene complexity but produce artif...

In applications of linear programming, shadow prices/costs are as important as the optimal values of decision variables and objective function. When the linear programming problems are primal degenerate, the shadow prices are no longer necessarily equal to optimal value of dual variables. In such cases, the socalled two-sided shadow prices are defined. However, existing approaches for two-sided...

This paper presents a new shadow detecting method for silhouette extraction of a person in gray-level video sequences. We use a shadow evaluator to verify each raw shadow pixel which was detected by Gaussian distribution analysis. The evaluator considers a raw shadow pixel initially to be a fake shadow pixel, and marks it as a silhouette pixel if it is enclosed or semienclosed by moving occlusi...

This paper presents a novel approach for eliminating unexpected shadows from multiple pedestrians from a static and textured background using Gaussian shadow modeling. First, a set of moving regions are segmented from the static background using a background subtraction technique. The extracted moving region may contain multiple shadows from various pedestrians. In order to remove these unwante...

Single image shadow detection is a very challenging problem because of the limited amount of information available in one image, as well as the scarcity of annotated training data. In this work, we propose a novel adversarial training based framework that yields a high performance shadow detection network (D-Net). D-Net is trained together with an Attenuator network (A-Net) that generates adver...

There is some evidence of the unabated proliferation of employee-autonomous, informal in an enterprise sense, collaborative information technologies (CITs) to perform collaborative activities despite huge investments in CIT enterprise systems. This article will introduce the metaphorical construct of “shadow CIT” (similar to “shadow IT” – Raden, 2005; Schaffner, 2007) to describe the strategic ...

The most popular methods for interactive hard shadows rendering are shadow volumes and shadow maps. Shadow volumes generate precise shadows but require high fill rate. Due to excessive fill rate requirements, shadow maps are probably the most widely used means for generation of shadows, despite their well known aliasing problems. In this paper, Extended Shadow Maps are introduced, as a means to...