People typically move and act under the constraints of an environment, making human behavior strongly place-dependent. Motion patterns, the places and the rates at which people appear, disappear, walk or stand are not random but engendered by the environment. In this paper, we learn a non-homogeneous spatial Poisson process to spatially ground human activity events for the purpose of people tra...

A computer vision system for tracking multiple people in relatively unconstrained environments is described. Tracking is performed at three levels of abstraction: regions, people, and groups. A novel, adaptive background subtraction method that combines color and gradient information is used to cope with shadows and unreliable color cues. People are tracked through mutual occlusions as they for...

In this paper, we describe a method for real-time tracking of objects with multiple laser range-finders covering a workspace in a parallel and distributed fashion. Tracking people is a popular problem in machine vision. Here we adapt the methods used in vision to planar laser scanners. We group range measurements into entities like blobs and objects. With the help of a Kalman Filter (KF), the t...

with the increase of the number of cameras installed across a video surveillance network, the ability of security staffs to attentively scan all the video feeds actually decreases. therefore, the need for an intelligent system that operates as a tracking system is vital for security personnel to do their jobs well. tracking people as they move through a camera network with non-overlapping field...

This paper estimates the markup for the Mexican manufacturing sector to detect the impact of trade liberalization on market power. Using Hall’s proposal that states that a procyclical Solow residual is an indication of market power, this research estimates the markup for different periods to detect the change in market power after trade liberalization was implemented. We account for the potenti...

MOST PEOPLE AGREE that stock prices sometimes behave in strange ways. Going beyond this simple observation typically proves more difficult. For at least the past quarter century, economists have been well aware that the variation of stock prices does not nicely match the familiar bell-shaped normal distribution.1 The problem is too many extreme movements. Very large increases or decreases would...

This chapter provides an introduction to models of human pose and motion for use in 3D human pose tracking. We concentrate on probabilistic latent variable models of kinematics, most of which are learned from motion capture data, and on recent physics-based models. We briefly discuss important open problems and future research challenges.

The development of a system able to detect and track moving people is described. Given a sequence of timevarying images, the goal is to count the number of people crossing a counting line. A motion detection module first determines whether any person has entered the scene; a tracking module combining prediction and matching then follows people until they reach the counting line. The efficiency ...