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 indepth examination of architectures, performance, and systems evaluation.