Intelligent multi-camera video surveillance is a multidisciplinary field related to computer
vision, pattern recognition, signal processing, communication, embedded computing and …

Smart meeting systems, which record meetings and analyze the generated audio--visual
content for future viewing, have been a topic of great interest in recent years. A successful …

Tracking-based approaches for abandoned object detection often become unreliable in
complex surveillance videos due to occlusions, lighting changes, and other factors. We …

The use of multiple heterogeneous cameras is becoming more common in today's
surveillance systems. In order to perform surveillance tasks, effective coordination and …

The idealization of a static machine-learned model, trained once and deployed forever, is
not practical. As input distributions change over time, the model will not only lose accuracy …

Abstract Intelligent Visual Surveillance is an important and challenging research field of
image processing and computer vision. To prevent the ecological and economical losses …

Coverage is a basic and critical issue for design and deployment of visual sensor networks,
however, the optimization problem is very challenging especially when considering …

We present a visual tracking method with feature fusion via joint sparse presentation. The
proposed method describes each target candidate by combining different features and joint …

This paper presents an overview of our novel decision-theoretic multi-agent approach for
controlling and coordinating multiple active cameras in surveillance. In this approach, a …

A real‐time system for the detection and tracking of moving objects that becomes stationary
in a restricted zone. A new pixel classification method based on the segmentation history …