In this paper, we aim to monitor the flow of people in large public infrastructures. We propose an unsupervised methodology to cluster people flow patterns into the most typical and meaningful configurations. By processing 3D images from a network of depth cameras, we built a descriptor for the flow pattern. We define a data-irregularity measure that assesses how well each descriptor fits a dat...

This paper deals with the detection of arbitrary static objects in traffic scenes from monocular video using structure from motion. A camera in a moving vehicle observes the road course ahead. The camera translation in depth is known. Many structure from motion algorithms were proposed for detecting moving or nearby objects. However, detecting stationary distant obstacles in the focus of expans...

Knowledge related aspects of businesses processes are often ignored or referred to as a black box in process improvement projects. As a result they remain untouched and it is left to the knowledge workers to establish routines and workflows that deliver results needed to fulfill the business processes needs. This often results in lowered efficiency, redundancy of knowledge related activities, l...

Counting people from a video stream in a noisy environment is a challenging task. This project aims at developing a counting system for transport vehicles, integrated in a video surveillance product. This article presents a method for the detection and tracking of multiple faces in a video by using a model of first and second order local moments. An iterative process is used to estimate the pos...

The computer vision community has expended a great amount of effort in recent years towards the goal of tracking people in videos. Much more recently, algorithms have been developed to track multiple people in videos robustly and in real-time. The goal of this project is to implement a system based on one of those algorithms, in order to count and track the people in a database of surveillance ...

This study has critically examined different aspects of Counter-Cyclical Payments (CCPs) in the context of commitment of United State of America (US) under the Agreement on Agriculture (AoA) and future obligations under recent Doha Round Negotiations. The study has highlighted the shortcomings in domestic support notifications of US to WTO and their impact on product-specific support to the agr...

We provide strong game-theoretic foundations for the median voter theorem in a onedimensional bargaining model based on Baron and Ferejohn’s (1989) model of distributive politics. We prove that, as the agents become arbitrarily patient, the set of proposals that can be passed in any subgame perfect equilibrium collapses to the median voter’s ideal point. While we leave the possibility of some d...

* The authors are all with the University of California, Davis. Ann Huff Stevens is an economics professor and director of the Center for Poverty Research. Douglas L. Miller is an assistant professor of economics. Marianne Page is a professor of economics. Mateusz Filipski is a postdoctoral scholar in the agricultural and resource economics department. This brief is adapted from a longer workin...

The concept and realisation of a simple infrared sensor array based on intensity evaluation of the reflected light to determine properties of moving objects like direction(trajectory), size, velocity is described. In particular, the problem of reliably counting persons entering or leaving a room has been examined. Contrary to common impression, this is not at all a simple task: Incidental count...

People counting is an important problem in video surveillance applications. This problem has been faced either by trying to detect people in the scene and then counting them or by establishing a mapping between some scene feature and the number of people (avoiding the complex detection problem). This paper presents a novel method, following this second approach, that is based on the use of SURF...