Multimodal Surveillance Sensors, Algorithms, and Systems

Multimodal surveillance is the next-generation of surveillance technology, combining traditional video and audio surveillance with state-of-the art sensors. These systems can identify at great distances approaching vehicles or scan crowds of people to pinpoint a specific individual. Once solely used by the military, they are becoming more widely used by law enforcement, business, and even high-end homeowners. This cutting-edge resource brings together the field's leading experts who guide researchers, designers, engineers, and developers through this multifaceted technology. It discusses the latest high-end sensors for extremely accurate surveillance, as well as low-cost sensing solutions. Designers get insight into new powerful algorithms that integrate sensor data to provide meaningful information. Engineers and developers benefit from an in-depth examination of architectures, performance, and systems evaluation. Comprehensively covering the components of multimodal surveillance technology, this book also covers applications, methodologies, and implementation techniques.Zhu, Zhigang is the author of 'Multimodal Surveillance Sensors, Algorithms, and Systems', published 2007 under ISBN 9781596931848 and ISBN 1596931841.