This papers presents a framework for detecting multiple moving moving objects in a sequence of images. Using a statistical approach, where the inter-frame difference is modeled by a mixture of two Laplacian distributions and a deformable contour-based energy minimization approach, we reformulate the motion detection problem as a front propagation problem. Following the work of geodesic active c...

We consider using online large margin classification algorithms in a setting where the target classifier may change over time. The algorithms we consider are Gentile’s Alma, and an algorithm we call Norma which performs a modified online gradient descent with respect to a regularised risk. The update rule of Alma includes a projectionbased regularisation step, whereas Norma has a weight decay t...

This paper presents an integrated method by using optical flow and kernel particle filter (KPF) to detect and track moving targets in omnidirectional vision. According to the circle character in omnidirectional image, the algorithms of optical flow fields and kernel particle filter are improved based on the polar coordinates at the omnidirectional center. The edge of a motion object can be dete...

The methods for estimating the annual global value of imports of parts and accessories are presented in Chapter 8 of the Small Arms Survey 2012, ‘Piece by Piece: Authorized Transfers of Parts and Accessories’ (Grzybowski, Marsh, and Schroeder, 2012, pp. 247–50). This annexe contains additional details on some of the data and estimation techniques used in the chapter, including for the estimate ...

In recent years, Stackelberg Security Games have been successfully applied to solve resource allocation and scheduling problems in several security domains. However, previous work has mostly assumed that the targets are stationary relative to the defender and the attacker, leading to discrete game models with finite numbers of pure strategies. This paper in contrast focuses on protecting mobile...

We present an end-to-end system for reconstructing complete watertight and textured models of moving subjects such as clothed humans and animals, using only three or four handheld sensors. The heart of our framework is a new pairwise registration algorithm that minimizes, using a particle swarm strategy, an alignment error metric based on mutual visibility and occlusion. We show that this algor...

In the present study, we investigate if speakers refer to moving entities in route directions (RDs) and how listeners evaluate these references. There is a general agreement that landmarks should be perceptually salient and stable objects. Animated movement attracts visual attention, making entities salient. We ask speakers to watch videos of crossroads and give RDs to listeners, who in turn ha...

In this paper, we present a new technique for detecting moving targets from image sequences captured by moving sensors. Feature points are detected and tracked through the image sequences. A validity vector is used to describe the consistency of feature trajectories with sensor motion. By using the sequential importance sampling method, an approximation to the posterior distribution of the sens...

We present an application of a multi hypothesis tracking (MHT) algorithm to the case of ground moving targets detected by GMTI (Ground Moving Target Indicator) radar sensors. The algorithms for track extraction, prediction, filtering, and track maintenance are briefly described, and exemplary tracking results for simulated MTI data are demonstrated.

We introduce a new communication paradigm, Human-to-human Mobile Ad hoc Networking (HuManet), that exploits smartphone capabilities and human behavior to create decentralized networks for smartphoneto-smartphone message delivery. HuManets support stealth command-and-control messaging for mobile BotNets, covert channels in the presence of an observer who monitors all cellular communication, and ...