This paper introduces a human body contour registration method for static pedestrian images with unconstrained background. By using a statistical compound model to impose structural and textural constraints on valid pedestrian appearances, the matching process is robust to image clutter. Experimental results show that the proposed method register pedestrian contours in complex background effect...

MADYMO pedestrian simulations were performed using a previous model as a baseline [1‐2]. The following were assessed for their influence on the relationship between windscreen angle and head injury risk: vehicle/ pedestrian speed, pedestrian gait, size and arm position, and vehicle braking, approach angle, windscreen stiffness and shape. Head injury risk is assessed through peak linear and angu...

Growing evidence suggests that microscale pedestrian environment features, such as sidewalk quality, crosswalks, and neighborhood aesthetics, may affect residents' physical activity. This study examined whether disparities in microscale pedestrian features existed between neighborhoods of differing socioeconomic and racial/ethnic composition. Using the validated Microscale Audit of Pedestrian S...

BACKGROUND Evidence is growing that the built environment has the potential to influence walking--both positively and negatively. However, uncertainty remains on the best approaches to representing the pedestrian environment in order to discern associations between walking and the environment. Research into the relationship between environment and walking is complex; challenges include choice o...

OBJECTIVES The goal of this study is to explore the relationship between pedestrian injuries and socioeconomic characteristics. METHODS Pedestrian collisions were identified in the data of the California Statewide Integrated Traffic Records System (SWITRS), which is assembled from police crash reports by the California Highway Patrol Information Services Unit. Four thousand crashes were ident...

Here, we collect two parts of a research project on the pedestrian flow modeling. Rapid growth in the volume of public transport and the need for its reasonable, efficient planning have made the description and modeling of transport and pedestrian behaviors as important research topics in the past twenty years. First, we present a macroscopic model for the pedestrian flow based on continuum mec...

The paper proposes an enhanced representation of the pedestrian network that provides benefits for pedestrian route planning over a network representation that is used by a majority of existing route planning services. The pedestrian network is represented in the proposed methodology by pavements and crossings between them. Route planning is based on the travel time derived from distance and av...

This paper describes a system for pedestrian detection in infrared images implemented and tested on an experimental vehicle. A specific stabilization procedure is applied after image acquisition and before processing to cope with vehicle movements affecting the camera calibration. The localization of pedestrians is based on the search for warm symmetrical objects with specific size and aspect r...

The present paper addresses pedestrian detection using local boosted features that are learned from a small set of training images. Our contribution is to use two boosting steps. The first one learns discriminant local features corresponding to pedestrian parts and the second one selects and combines these boosted features into a robust class classifier. In contrast of other works, our features...

mistakes in the earlier draft of this manuscript and for her love and encouragement. Microscopic pedestrian studies consider detailed interaction of pedestrians to control their movement in pedestrian traffic flow. The tools to collect the microscopic data and to analyze microscopic pedestrian flow are still very much in its infancy. The microscopic pedestrian flow characteristics need to be un...