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 non-human . The axis crossover vector method is used for translating the ac...

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 ...

Existing models of group behavior, in a variety of fields, leave many open challenges. In particular, existing models often focus only on a specific phenomenon (e.g. flocking, pedestrian movement), and thus must be switched depending on the goals of the simulation. In contrast, we investigate a general cognitive model of simulating group behaviors, based on Festinger’s Social Comparison Theory ...

The present paper outlines different approaches to pedestrian modelling, classifying them according to their movement and collision avoidance algorithms. An interesting question, not yet fully explored, is whether the simulation output is markedly different between the two main agent-based approaches. The paper explores this question by considering the operational performance of two rail statio...

We present a real-time algorithm to automatically classify the dynamic behavior or personality of a pedestrian based on his or her movements in a crowd video. Our classification criterion is based on Personality Trait Theory. We present a statistical scheme that dynamically learns the behavior of every pedestrian in a scene and computes that pedestrian’s motion model. This model is combined wit...

This paper presentsa new simple mobile tracking system based on IEEE802.11 wireless signal detection, which can be used for analyzingthe movement of pedestrian traffic. Wi-Fi packets emitted by Wi-Fi enabled smartphones are received at a monitoring station and these packets contain date, time, MAC address, and other information. The packets are received at a number of stations, distributed thro...

mistakes in the earlier draft of this manuscript and for her love and encouragement. Microscopic pedestrian studies consider detailed interaction of pedestrians to control their movement in pedestrian traffic flow. The tools to collect the microscopic data and to analyze microscopic pedestrian flow are still very much in its infancy. The microscopic pedestrian flow characteristics need to be un...