⎯ This paper describes a pedestrian tracking system that uses a new movement prediction technique based on an association of Cellular Automata (CA) and a Neural Network (NN). The proposed prediction technique aims to learn the behaviour of pedestrian movement directly from images. A CA is applied to capture the pedestrian movement. The derived CA patterns are then used to train the NN. The trai...

The implementation of a pedestrian safety education program in public schools can change the knowledge and beliefs about safe pedestrian behaviors among students and their parents or caregivers with the goal of reducing morbidity and mortality of children. WalkSafe is a well-established, multiphase pedestrian safety intervention program. This program has been shown to improve pedestrian safety ...

In this study, the author made efforts to build a multi-agent based system to simulate the pedestrian crowd’s behaviour utilizing GIS data. Taking the fireworks display at Tsim Tsua Tsui of Hong as the sample case, the event was catalogued into different scenarios, arrival and dispersal. Since individual motion is significant to the simulation, different sets of rules were designed for each age...

Spatial layout design must consider not only ease of movement for pedestrians under normal conditions, but also their safety in panic situations, such as an emergency evacuation in a theatre, stadium or hospital. Using pedestrian simulation statistics, the movement of crowds can be used to study the consequences of different spatial layouts. Previous works either create an optimal spatial arran...

STUDY OBJECTIVE In case centred epidemiological studies, traffic volume has been shown to be a potent risk factor for child pedestrian injuries. Nevertheless, over the past two decades child pedestrian death rates have fallen in many countries despite large increases in traffic volumes, suggesting that other factors are responsible for the long term decline in death rates. This study aimed to i...

Pedestrian detection is highly valued in intelligent surveillance systems. Most existing pedestrian datasets are autonomously collected from non-surveillance videos, which result in significant data differences between the self-collected data and practical surveillance data. The data differences include: resolution, illumination, view point, and occlusion. Due to the data differences, most exis...

Pedestrian classifiers decide which image windows contain a pedestrian. In practice, such classifiers provide a relatively high response at neighbor windows overlapping a pedestrian, while the responses around potential false positives are expected to be lower. An analogous reasoning applies for image sequences. If there is a pedestrian located within a frame, the same pedestrian is expected to...

Driven by the prominent thermal signature of humans and following the growing availability of unmanned aerial vehicles (UAVs), more and more research efforts have been focusing on the detection and tracking of pedestrians using thermal infrared images recorded from UAVs. However, pedestrian detection and tracking from the thermal images obtained from UAVs pose many challenges due to the low-res...

1 Doctoral Student, Graduate School of Information Science, Tohoku University Japan 2 Associate Professor, Graduate School of Information Science, Tohoku University Japan 3 Professor, Graduate School of Information Science, Tohoku University Japan Microscopic Pedestrian Simulation Model is computer simulation model of pedestrian movement where every pedestrian in the model is treated as individ...

This study compares, on a simulator, drivers' performance (eye fixations and yielding behavior) at marked mid-block crosswalks in multi-threat scenarios when the crosswalks have advance yield markings and pedestrian crosswalk prompt signs versus their performance in such scenarios when the crosswalks have standard markings. Advance yield markings and prompt signs in multi-threat scenarios lead ...