The quality of pedestrian routes of access to a public transport system (PTS) is an important aspect for the choice of transport mode, which can be evaluated using some indicators such as accessibility, comfort, frequency, etc. The policies for urban sustainable mobility must reflect the design and management of mass transit systems, but also the judgment of users in terms of quality and percep...

Person re-identification (re-ID) and attribute recognition share a common target at the pedestrian description. Their difference consists in the granularity. Attribute recognition focuses on local aspects of a person while person re-ID usually extracts global representations. Considering their similarity and difference, this paper proposes a very simple convolutional neural network (CNN) that l...

In recent years, using smartphones to determine pedestrian locations in indoor environments is an extensively promising technique for improving context-aware applications. However, the applicability and accuracy of the conventional approaches are still limited due to infrastructure-dependence, and there is seldom consideration of the semantic information inherently existing in maps. In this pap...

We introduce the concept of a Visual Compiler that generates a scene specific pedestrian detector and pose estimator without any pedestrian observations. Given a single image and auxiliary scene information in the form of camera parameters and geometric layout of the scene, the Visual Compiler first infers geometrically and photometrically accurate images of humans in that scene through the use...

A number of studies have been conducted to enhance the pedestrian detection accuracy of intelligent surveillance systems. However, detecting pedestrians under outdoor conditions is a challenging problem due to the varying lighting, shadows, and occlusions. In recent times, a growing number of studies have been performed on visible light camera-based pedestrian detection systems using a convolut...

A major bottleneck of pedestrian detection lies on the sharp performance deterioration in the presence of small-size pedestrians that are relatively far from the camera. Motivated by the observation that pedestrians of disparate spatial scales exhibit distinct visual appearances, we propose in this paper an active pedestrian detector that explicitly operates over multiple-layer neuronal represe...

As an important part of autonomous driving intelligence perception, pedestrian detection has high requirements for parameter size, real-time, and model performance. Firstly, a novel multiplexed connection residual block is proposed to construct the lightweight network improving ability extract features. Secondly, scalable attention module investigated expand local perceptual field based on dila...

Evidence for the benefits of walking has attracted attention researchers and practitioners encouraged them to develop healthier more sustainable walkable cities. Many methods approaches have been developed measure walkability; namely, by using land use attributes. This paper examines transferability Geographic Information System (GIS) based multi-criteria method in Smart Pedestrian Net (SPN) re...