Difference between revisions of "CfpICDSC"
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Latest revision as of 04:13, 10 December 2015
Scope After the successful first meeting in Vienna, the second ACM/IEEE International Conference on Distributed Smart Cameras will be held September 7-11, 2008 at Stanford University. Distributed smart cameras combine techniques from computer vision, distributed processing, sensor networks, and embedded computing. Technological advances in the design of sensors and processors have facilitated the development of efficient embedded vision-based techniques. Design of scalable, network-based applications based on high-bandwidth data such as images requires a change of paradigm in the processing methodologies, thus creating opportunities for designing distributed and collaborative vision-based techniques. As a result, novel smart environment applications can be enabled that are interpretive, context aware, and user centric in nature. The conference aims to provide an opportunity for researchers investigating the areas of smart camera architectures, algorithm design, embedded vision-based processing, and smart environments to exchange their most recent results. Offering insight into the potentials and challenges of distributed vision networks and an outlook of research opportunities ahead are also the objectives of the conference. Presentations accompanied by demonstrations and contributions based on industrial applications are also of interest. The terms "distributed" and "smart cameras" emphasize the focus of the conference. Papers describing original research in the areas of multi-camera networks and distributed processing of visual data are solicited. Topics The terms distributed, smart cameras, and multi-camera networks emphasize the focus of the conference. Papers describing original research in the areas of multi-camera networks and distributed processing of visual data are solicited. Topics of interest within the scope of the conference include: Smart camera architectures Image sensing techniques for smart cameras Embedded vision programming Fusion of vision and other sensors Distributed vision processing algorithms Distributed appearance modeling Collaborative feature extraction, data and decision fusion Architectures and protocols for camera networks Wireless and mobile image sensor networks Position discovery and middle-ware applications Vision-based smart environments Surveillance and tracking applications Multi-view vision for Human-Computer Interfaces (HCI) 3D scene analysis Distributed multimedia and gaming applications The following offers a more detailed list of areas within the scope and interest of the conference: Architecture: Smart camera architectures Image sensing techniques for smart camera networks Image and data fusion techniques Embedded vision programming methodologies and libraries Audio and vision fusion architectures and techniques Methods and tools for modeling, verification, and deployment Algorithms: Distributed vision processing methods in smart camera networks Collaborative feature extraction, data fusion, and decision fusion Distributed appearance modeling Collaborative event interpretation Real-time operation and robust design methods, calibration techniques Vision Networks: Architectures and protocols for networked operation of smart cameras Wireless and mobile image sensor networks Collaborative position discovery and middle-ware applications Shared processing resources for video analysis Distributed database management for scene understanding Networks of smart cameras and other sensors Applications: Vision-based smart environments Surveillance and tracking applications Applications based on fusion of visual and other sensory data Multi-view vision for Human-Computer Interfaces (HCI) 3D scene analysis with distributed sensors Distributed multimedia and gaming applications