Accurately detecting pedestrians in images plays a critically important role in many computer vision applications. Extraction of effective features is the key to this task. Promising features should be discriminative, robust to various variations and easy to compute. In this work, we present novel features, termed dense center-symmetric local binary patterns (CS-LBP) and pyramid center-symmetri...

In wireless sensor networks, location information is essential to its monitoring activities. In view of the “boundary effect” and lack of accuracy in APIT-3D, this paper proposes an improved three-dimensional localization scheme based on APIT named IAPIT-3D. In the scheme, the probability of misjudgment is reduced by adding the conditions of judgment. On one hand, the signal strength that all o...

infinite images of itself; and these, by infinite pyramids diffused in the air, represent this body throughout space and on every side. Each pyramid that is composed of a long assemblage of rays includes within itself an infinite number of pyramids and each has the same power as all, and all as each. – The Notebooks of Leonardo da Vinci In M. Landy and J. A. Movshon (eds), Computational Models ...

Robust scale estimation is a challenging problem in visual object tracking. Most existing methods fail to handle large scale variations in complex image sequences. This paper presents a novel approach for robust scale estimation in a tracking-by-detection framework. The proposed approach works by learning discriminative correlation filters based on a scale pyramid representation. We learn separ...

CNN architectures have terrific recognition performance but rely on spatial pooling which makes it difficult to adapt them to tasks that require dense, pixel-accurate labeling. This paper makes two contributions: (1) We demonstrate that while the apparent spatial resolution of convolutional feature maps is low, the high-dimensional feature representation contains significant sub-pixel localizat...

loudiness constitutes an important quality parameter of nonwoven fabrics. We show that Cit can be graded using a specific Laplacian pyramid decomposition which has to be modified at the boundaries. An algorithm is presented which calculates a quality measure as a weighted mean of the variances at all pyramid levels, where the weights are adapted to the human perception of cloudiness. The obtain...

Most corporate finance models of firm behavior study the typical US corporation: one firm with a large set of dispersed shareholders. In contrast, in many countries around the world, firms are often held in groups with complicated ownership structures. These groups, often referred to as pyramids, raise very distinct questions about firm behavior; these questions that are especially relevant for...

Various classes of finite-dimensional closed convex cones are studied. Equivalent characterizations of pointed cones, pyramids and rational pyramids are given. Special class of regular cones, corresponding to "continuous linear" quasiorderings of integer vectors is introduced and equivalently characterized. It comprehends both pointed cones and rational pyramids. Two different ways of determini...