Multispectral pedestrian detection via visible and thermal image pairs has received widespread attention in recent years. It provides a promising multi-modality solution to address the challenges of low-light environments occlusion situations. Most existing methods directly blend results two modalities or combine features linear interpolation. However, such fusion strategies tend extract coarse...

A macroscopic loading model for multi-directional, time-varying and congested pedestrian flows is proposed in this paper. Walkable space is represented by a network of streams that are each associated with an area in which they interact. To describe this interaction, a stream-based pedestrian fundamental diagram is used that relates density and walking speed in multi-directional flow. The propo...

This paper discusses a hybrid technique for detecting and tracking moving pedestrians in a video sequence. The technique comprises two sub-systems: an active contour model for detecting and tracking moving objects in the visual field, and an MLP neural network for classifying the moving objects being tracked as ‘human’ or ‘nonhuman’. The axis crossover vector method is used for translating the ...

io-port 05647651 Yamashita, Tomohisa; Soeda, Shunsuke; Noda, Itsuki Evacuation planning assist system with network model-based pedestrian simulator. Yang, Jung-Jin (ed.) et al., Principles of practice in multi-agent systems. 12th international conference, PRIMA 2009, Nagoya, Japan, December 14–16, 2009. Proceedings. Berlin: Springer (ISBN 978-3-64211160-0/pbk). Lecture Notes in Computer Science...

This paper describes a hybrid vision system which, following initial user interaction, can detect and track objects in the visual field, and classify them as human and non-human. The system incorporates an active contour model for detecting and tracking objects, a method of translating the contours into scale-, locationand resolution-independent vectors, and an errorbackpropagation feedforward ...

In vehicular traffic planning it is a long standing problem how to assign demand such on the available model of a road network that an equilibrium with regard to travel time or generalized costs is realized. For pedestrian traffic this question can be asked as well. However, as the infrastructure of pedestrian dynamics is not a network (a graph), but two-dimensional, there is in principle an in...

Deep convolutional neural networks continue to advance the state-of-the-art in many domains as they grow bigger and more complex. It has been observed that many of the parameters of a large network are redundant, allowing for the possibility of learning a smaller network that mimics the outputs of the large network through a process called Knowledge Distillation. We show, however, that standard...

Walking, as an important transportation mode, plays a large part in urban transportation systems. This mode is of great importance for planners and decision-makers because of its impact on environmental and health aspects of communities. However, this mode is so complex in nature that makes it difficult to study or model. On the other hand, chaos theory studies complex dynamical nonlinear syste...