Visual sensor networks (VSN) are networks of smart cameras capable of local image processing and data communication. Different from traditional camera-based surveillance network where cameras simply stream their image data to a centralized server for processing, cameras in VSNs form a distributed system, performing information extraction and collaborating on application-specific tasks. Due to t...

As networks of video cameras are being installed in many applications, modeling and inference strategies in video networks have captured more and more interest. There are many challenge problems, such as (i) traditional computer vision challenges in tracking and recognition, robustness to pose, illumination, occlusion, clutter; recognition of objects and activities; (ii) aggregating local infor...

This paper deals with the problem of multi-target tracking in a distributed camera network using the square-root cubature information filter (SCIF). SCIF is an efficient and robust nonlinear filter for multi-sensor data fusion. In camera networks, multiple cameras are arranged in a dispersed manner to cover a large area, and the target may appear in the blind area due to the limited field of vi...

Camera networks are increasingly being deployed for security. In most of these camera networks, video sequences are captured, transmitted and archived continuously from all cameras, creating enormous stress on available transmission bandwidth, storage space and computing facilities. We describe an intelligent control system for scheduling Pan-Tilt-Zoom cameras to capture video only when task-sp...

Barrier coverage, an important research area with respect to camera sensor networks, consists of a number of camera sensors to detect intruders that pass through the barrier area. Existing works on barrier coverage such as local face-view barrier coverage and full-view barrier coverage typically assume that each intruder is considered as a point. However, the crucial feature (e.g., size) of the...