CfpICDSC

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