Camera Network Study Group

Participants

Faculty

• Boston, Nigel (boston@engr.wisc.edu)
• Dyer, Charles R. (dyer@cs.wisc.edu)
• Hu, Yu Hen (hu@engr.wisc.edu)

Graduate Students

• Arora, Raman (ramanarora@wisc.edu)
• Chen, Chien Liang (chen38@wisc.edu)
• Collins, Nathan (nathan.collins@gmail.com)
• Hockert, Neil (nrhockert@hotmail.com)
• Huang, Chin-Ya (huang29@wisc.edu)
• Lenz, Mark M (mmlenz@wisc.edu)
• Lin, Yen-Ting (yenting@cae.wisc.edu)
• Malekpour, Shirzad (sh_malekpour@yahoo.com)
• Wang, Chao (chaowang@wisc.edu)
• Wierer, Jay (jdwierer@wisc.edu)
• Widder, Kerry (widder@wisc.edu)

Tentative Schedule

CVPR07 Papers

Purpose

Distributed smart cameras combine techniques from computer vision, distributed processing, and embedded computing. Technological advances in the design of sensors and processors have facilitated the development of efficient embedded vision-based techniques. Distributed algorithms can provide more confident deductions about the events of interest or reduce ambiguities in a view caused by occlusion or other factors. Because they operate in real time, a variety of smart environment applications can be enabled based on the development of efficient architectures and algorithms for distributed vision networks.

Topics Intended to be Covered:

• Fusion of vision and other sensors
• Distributed vision processing algorithms
• Collaborative feature extraction, data and decision fusion
• Architectures and protocols for camera networks
• Wireless and mobile image senor networks
• Vision-based smart environments
• Surveillance and tracking applications
• Multi-view vision for human-computer interaction
• 3D scene analysis