Understanding Metro Station Usage using Closed Circuit Television Cameras Analysis

In this paper, we propose to show how video data available in standard CCTV transportation systems can represent a useful source of information for transportation infrastructure management, optimization and planning if adequately analyzed (e.g. to facilitate equipment usage understanding, to ease diagnostic and planning for system managers). More precisely, we present two algorithms allowing to estimate the number of people in a camera view and to measure the platform time-occupancy by trains. A statistical analysis of the results of each algorithm provide interesting insights regarding station usage. It is also shown that combining information from the algorithms in different views provide a finer understanding of the station usage. An end-user point of view confirms the interest of the proposed analysis

Unsupervised Image Segmentation Based on High-Order Hidden Markov Chains

First order hidden Markov models have been used for a long time in image processing, especially in image segmentation. In this paper, we propose a technique for the unsupervised segmentation of images, based on high-order hidden Markov chains. We also show that it is possible to relax the classical hypothesis regarding the state observation probability density, which allows to take into account some particular correlated noise. Model parameter estimation is performed from an extension of the general Iterative Conditional Estimation (ICE) method that takes into account the order of the chain. A comparative study conducted on a simulated image is carried out according to the order of the chain. Experimental results on Synthetic Aperture Radar (SAR) images show that the new approach can provide a more homogeneous segmentation than the classical one, implying higher complexity algorithm and computation time

Unsupervised Image Segmentation Based on a New Fuzzy HMC Model

In this paper, we propose a technique, based on a fuzzy Hidden Markov Chain (HMC) model, for the unsupervised segmentation of images. The main contribution of this work is to simultaneously use Dirac and Lebesgue measures at the class chain level. This model allows the coexistence of hard and fuzzy pixels in the same picture. In this way, the fuzzy approach enriches the classical model by adding a fuzzy class, which has several interpretations in signal processing. One such interpretation in image segmentation is the simultaneous appearance of several thematic classes on the same pixel (mixture). Model parameter estimation is performed through an extension of the Iterative Conditional Estimation (ICE) algorithm to take into account the fuzzy part. The fuzzy segmentation of a real image of clouds is studied and compared to the classification obtained with a "classical" hard HMC model

On the Use of Real-Time Agents in Distributed Video Analysis Systems

Today ’ s technologies in video analysis use state of the art systems and formalisms like onthologies and datawarehousing to handle huge amount of data generated from low-level descriptors to high-level descriptors. In the IST CARETAKER project we develop a multi-dimensional database with distributed features to add a centric data view of the scene shared between all the sensors of a network. We propose to enhance possibilities of this kind of system by delegating the intelligence to a lot of other entities, also known as ”Agents ” which are specialized little applications, able to walk across the network and work on dedicated sets of data related to their core domain. In other words, we can reduce, or enhance, the complexity of the analysis by adding or not feature specific agents, and processing is limited to the data concerned by the processing. This article explains how to design and develop an agent oriented systems which can be used by a video analysis datawarehousing. We also describe how this methodology can distribute the intelligence over the system, and how the system can be extended to obtain a self reasoning architecture using cooperative agents. We will demonstrate this approach. Keywords: Real-time, Video analysis, Agents, Middleware 1

IAVDRS Iowa Violent Death Reporting System: Fall 2016 Update, October 13, 2016

This newsletter is produced by Iowa Department of Public Health about finding ways to prevent violent deaths in Iowa by understanding contributing circumstance