OBJECTIVE To determine whether pedestrian countdown signals (PCS) reduce pedestrian-motor vehicle collisions in the city of Toronto, Canada. METHODS A quasi-experimental study design was used to evaluate the effect of PCS on the number of pedestrian-motor vehicle collisions in the city of Toronto, from January 2000 to December 2009. Each intersection acted as its own control. We compared the ...

OBJECTIVE This randomized controlled trial examined one aspect of child pedestrian behavior, route selection across intersections, to evaluate whether a combination of widely-available videos and websites effectively train children in safe pedestrian route selection compared to active pedestrian safety control training and a no-contact control group. METHODS A sample of 231 seven- and eight-y...

In contrast to the steady reduction in mortality and morbidity from collisions involving motor vehicle occupants, relatively little progress has been made in controlling motor vehicle/pedestrian collisions. Engineering modifications are the most effective means of reducing such collisions, but mainly because of their cost, and public apathy about pedestrian safety, are too rarely employed. A mo...

An effective and efficient visual word selection method based on Bag-of-features (BoF), which can be applied to the pedestrian detection problem, is proposed in this paper. We first calculate the difference in the total appearance frequency of each visual word in pedestrian and non-pedestrian images. Visual words that exhibit greater absolute values are more efficient for pedestrian detection, ...

This paper presents a real-time system for pedestrian tracking in sequences of grayscale images acquired by a stationary CCD camera. The objective is to integrate this system with a pedestrian control scheme for intersections. The system outputs the spatio-temporal coordinates of each pedestrian during the period the pedestrian is in the scene. Processing is done at three levels: raw images, bl...

While older pedestrian crashes are relatively few in number, their rates are significant per head of population. Moreover, with expected increases in the proportion and mobility of older people in the years ahead, the problem will only get worse without active intervention. This review aimed to identify issues of relevance to the safety of older pedestrians and prioritise research and counterme...

One desirable capability of autonomous cars is to accurately predict the pedestrian motion near intersections for safe and efficient trajectory planning. We are interested in developing transfer learning algorithms that can be trained on the pedestrian trajectories collected at one intersection and yet still provide accurate predictions of the trajectories at another, previously unseen intersec...

One of the major issues in the development of mobile pedestrian navigation services concerns the poor understanding of pedestrian spatiotemporal behaviour. Findings reveal that human route choice behaviour relies on a huge variety of influence factors. Therefore, common concepts like those used in car navigation systems will not conform to the requirements of pedestrians, as people on foot do n...

Pedestrian detection is a key problem in computer vision, with several applications that have the potential to positively impact the quality of life. This paper describes a comprehensive combination of feature extraction methods for vision-based pedestrian detection and tracking in Intelligent Systems based on monocular vision. First, we detect the pedestrian using Integral Channel Features and...

Bag detection in pedestrian images is a very practical visual surveillance problem. It is challenging because bag appearance may vary greatly. In this paper, we propose a novel two-stage approach for bag detection in pedestrian images. Firstly, we utilize two stripe vocabulary forests to check whether a pedestrian is with a bag. Secondly, we locate the bag location by ranking the generated bott...