Silhouette is one of the most popular and effective internal measures for the evaluation of clustering validity. Simplified Silhouette is a computationally simplified version of Silhouette. However, to date Simplified Silhouette has not been systematically analysed in a specific clustering algorithm. This paper analyses the application of Simplified Silhouette to the evaluation of k-means clust...

This paper proposes a method that tracks, and recognizes people in indoor scenes. Background subtraction and foreground silhouette analysis are used to detect people. The colour of each person’s clothes is used as a distinguishing feature for the purpose of tracking and recognizing people. Clothing colour is extracted using histograms on a luminance and perceptually uniform chrominance colour s...

In this paper, an unsupervised, automatic video human members(human body and parts) tracking algorithm is proposed based on a propabilictic human silhouette detection method and a geometric human silhouette analysis algorithm. First, the human silhouette is estimated using the following scheme : 1) an face detection, and 2) a human body detection based on biometric 2-D templates. Next, the huma...

In this paper we examine the problem of reconstructing a (possibly dynamic) ellipsoid from its (possibly inconsistent) orthogonal silhouette projections. We present a particularly convenient representation of ellipsoids as elements of the vector space of symmetric matrices. The relationship between an ellipsoid and its orthogonal projections in this representation is linear, unlike the standard...

Complex meshes tend to have intricate, detailed silhouettes. This paper proposes two algorithms for extracting a simpler, approximate silhouette from a high-resolution model. Our methods preserve the important features of the silhouette by using the silhouette of a coarser, simplified mesh as a guide. Our simple silhouettes have significantly fewer edges than the original silhouette, while stil...

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 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...

Object-space silhouette extraction is an important problem in fields ranging from non-photorealistic computer graphics to medical robotics. We present an efficient silhouette extractor for triangle meshes under perspective projection and make three contributions. First, we describe a novel application of 3D Hough transforms, which allows us to organize mesh data more effectively for silhouette ...

We present a new concept of silhouette coherence applied to a set of silhouettes generated by a 3D object. The proposed silhouette coherence concept is used in the problem of camera calibration for image-based 3D object modeling under circular motion. We first discuss the silhouette coherence notion and define a practical criterion to estimate it. This criterion depends both on the silhouettes ...