Automated visual analysis in large scale sensor networks

作者：Rasheed Z^*; Cao X; Shafique K; Liu H; Yu L; Lee M; Ramnath K; Choe T; Javed O; Haering N

来源：2008 2nd ACM/IEEE International Conference on Distributed Smart Cameras, ICDSC 2008, 2008-09-07 to 2008-09-11.

DOI：10.1109/ICDSC.2008.4635678

• Automated videos
• Case studies
• Enabling technologies
• Environmental conditions
• Florida , USA
• Geo-registration
• Heterogeneous sensors
• High resolutions
• Intuitive user interfaces
• Large networks
• Large scale sensor networks
• Multiple modalities
• Paper addresses
• Relevant informations
• Video analysis
• Video processing
• Visual analysis
• Visual sensor networks
• Visualization and analysis
• Wide areas

Modern automated video analysis systems consist of large networks of heterogeneous sensors. These systems must extract, integrate and present relevant information from the sensors in real-time. This paper addresses some of the major challenges such systems face: efficient video processing for high-resolution sensors;data fusion across multiple modalities;robustness to changing environmental conditions and video processing errors;and intuitive user interfaces for visualization and analysis. The paper discusses enabling technologies to overcome these challenges and presents a case study of a wide area video analysis system deployed at a port in the state of Florida, USA. The components of the system are also detailed and justified using quantitative and qualitative results.

• 出版日期2008