Video surveillance must automatically detect targets and suspicious behaviors in order to
effectively monitor large networks of cameras. Single processor designs have limited …

Conventional smart camera cannot achieve realtime processing for high-performance video
content analysis algorithms with only RISCs. In literatures, DSPs or coprocessors are …

A smart camera combines video sensing, high-level video processing and communication
within a single embedded device. These devices a core components of novel surveillance …

This paper describes an automated video analysis based monitoring system with processing
at the sensor edge to watch and report certain predetermined events and unusual activities …

This chapter provides an introduction to video analytics—a branch of computer vision
technology that deals with automatic detection of activities and events in surveillance video …

Video surveillance analysis is an exciting, active research area and an important industry
application. It is a multidisciplinary field that draws on signal processing, embedded …

From the streets of London to subway stations in New York City, hundreds of thousands of
surveillance cameras ubiquitously collect hundreds of thousands of videos, often running …

A smart camera combines video sensing, high-level video processing and communication
within a single embedded device. Such cameras are key components in novel surveillance …

A key to any robust automated surveillance system is continuous, wide field-of-view sensor
coverage and high accuracy target detection algorithms. Newer systems typically employ an …

Traditionally CCTV security and surveillance systems are meant for deterrent rather than for
prevention where these systems will simply record scenes as viewed by video cameras …