A smart city can be defined as an urban
area that creates sustainable economic development and high quality of
life by excelling in multiple key areas: economy, mobility,
environment, people, living, and government. These key areas are based
on theories of regional competitiveness, transport and ICT economics,
natural resources, human and social capital, quality of life, and
participation of citizens in the governance of cities, respectively.
Reaching excellence in these key areas can be done so through strong
human capital, social capital, and/or ICT (Information and
Communications Technology) infrastructure. Specifically, computer
vision is a research area which can contribute to the development of
smart cities. This special session aims to provide a meeting and
discussion point for researchers interested in the application of
computer vision in smart cities, including (but not limited):
· Modeling the environment for visual tasks.
· Indoor and outdoor video surveillance.
· Visual tracking, including multi-target tracking and tracking in crowded scenes.
· Scene understanding: behavior analysis, abnormality detection, context-based target description.
· Statistics for efficient archiving and retrieval of surveillance recordings.
· Activities involving people: counting people, abandon object detection, biometric recognition, etc.
· Automatic license plate recognition (ALPR) systems and applications: free-flow, red-light photo enforcement, car parks, etc.
· Multimodal approaches including audio, geolocation, radar, etc.
· Hybrid approaches: neural networks, fuzzy systems, optimization approaches, knowledge-based systems.
Extended versions of the selected papers
from the conference shall be considered for publication in the "Special
Issue on Real-Time Computer Vision in Smart Cities" (Journal of
Real-Time Image Processing). Call for papers available at: http://www.springer.com/cda/content/document/cda_downloaddocument/SI_JRTIP_CVSmartCities-v2.pdf?SGWID=0-0-45-1368436-0