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.