The socio-economic costs of traffic accidents constitute a significant burden on the society and therefore decision-makers focus on reducing these numbers. In the EU, for example, the objective is to reduce the number of fatalities by 50% by 2020. In order to realize this ambitious goal a range of research directions must be undertaken, from general traffic understanding and analysis to building real-time surveillance systems. The proposed workshop is a step in this direction. The focus of this workshop is the analysis, implementation and deployment of automatic traffic surveillance systems in support of detecting, tracking and, in general, understanding the behavior of road-users.
Original research papers related to the following (or similar) topics are welcome:
Detection, localization and classification of vehicles
Behavior understanding of road-users
Multi-sensor approaches to the above topics (for example: visual light combined with Lidar)
User-centric approaches to the above topics (for example: vehicle-mounted sensing)
Employment of systems into real-life setups (theoretical and practical challenges)
Automatic understanding of the environment in traffic scenarios (for example: road signs, traffic light, lanes)
Automatic individual and group behaviour interpretation (for example: unsafe behaviours, safety indicators and conflict detection)
Applications related to traffic surveillance
07月21日
2017
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