There has been an increasing interest in pedestrian detection in the last decade to save the numerous deaths caused by accidents in which pedestrians are involved. Vehicle manufacturers are addressing these challenges by looking into extendable vehicle body structures , to be activated on first impact with a pedestrian. A complementary approach is to focus on sensor based solutions, which enabl...

For a proper simulation of urban traffic scenarios, besides cars other road users, namely bicycles and pedestrians, have to be modeled. In scenarios where a whole city is modeled, a detailed actor-based simulation of pedestrians leads to expensive extra computational load. We investigate to what extent it is possible to capture traffic effects imposed by simulated pedestrians and then perform s...

Crowd behavior understanding is crucial yet challenging across a wide range of applications, since crowd behavior is inherently determined by a sequential decision-making process based on various factors, such as the pedestrians’ own destinations, interaction with nearby pedestrians and anticipation of upcoming events. In this paper, we propose a novel framework of Social-Aware Generative Adver...

Driver distraction is a major cause of traffic accidents, with mobile telephones as a key source of distraction. In two studies, we examined distraction of pedestrians associated with mobile phone use. The first had 60 participants walk along a prescribed route, with half of them conversing on a mobile phone, and the other half holding the phone awaiting a potential call, which never came. Comp...

The measurement of the pedestrians’ movement has high utility, because many efficient services can be provided for pedestrians with the measurement data. There are some techniques to measure pedestrian traffic and especially the method to measure pedestrian traffic with laser range scanners attracts considerable attention recently. However, the lines of sights of the laser range scanners are ob...

People watching smartphones while walking causes a significant impact to their safety. Pedestrians staring at smartphone screens while walking along the sidewalk are generally more at risk than other pedestrians not engaged in smartphone usage. In this paper, we propose Safe Walking, an Android smartphone-based system that detects the walking behavior of pedestrians by leveraging the sensors an...

This work addresses the problem of automatic tracking of pedestrians observed by a fixed camera in outdoor scenes. Tracking isolated pedestrians is not a difficult task. The challenge arises when the tracking system has to deal with temporary occlusions and groups of pedestrians. In both cases it is not possible to track each pedestrian during the whole video sequence. However, the system shoul...

ABSTRACT In this paper, we propose a method for estimating the number of pedestrians walking in opposite directions, as in cases of a shopping street or a sidewalk in a downtown area. The proposed method utilizes a compound-eye sensor that is constructed by placing two binary sensors for the pedestrians' movement direction and multiple binary sensors for the vertical direction of the pedestrian...

When pedestrians are observed using a view in the urban area, it is often difficult to track them because of the occlusions overlapped by roadside trees, traffic signs, advertising displays, street lamps, or another pedestrians. When multiple views are used for the observation of pedestrians, the state of the occlusion between views may be different. In this paper, we propose an algorithm to tr...

Background: More than 20% of deaths from traffic crashes are related to pedestrians. This figure in Tehran, the capital of Iran, reaches to 40%. This study aimed to determine the high-risk areas and spatially analyze the traffic crashes, causing death to pedestrians in Tehran.   Methods: Mapping was used to display the distribution of the crashes. Determining the distribution pattern of...