GPU-friendly warped display for scope-maintained video surveillance
In this paper, we propose an efficient technique for warped display of surveillance video signal. Usually, there are regions of interest (ROIs) in video surveillance, such as entrance or exit, and moving objects or persons. The surveillant has two or ...
Event detection in an audio-based sensor network
In this article we set out to examine whether analysis of the audio from a multimedia surveillance application can be used to augment an event detection system based on visual processing, and possibly contribute to any improvements. In processing audio ...
Calibrating and optimizing poses of visual sensors in distributed platforms
Many novel multimedia, home entertainment, visual surveillance and health applications use multiple audio-visual sensors. We present a novel approach for position and pose calibration of visual sensors, i.e., cameras, in a distributed network of general ...
Constructing task visibility intervals for video surveillance
Vision systems are increasingly being deployed to perform complex surveillance tasks. While improved algorithms are being developed to perform these tasks, it is also important that data suitable for these algorithms be acquired --- a non-trivial task ...
Classifying spatiotemporal object trajectories using unsupervised learning in the coefficient feature space
This paper proposes a novel technique for clustering and classification of object trajectory-based video motion clips using spatiotemporal function approximations. Assuming the clusters of trajectory points are distributed normally in the coefficient ...
Information assimilation framework for event detection in multimedia surveillance systems
Most multimedia surveillance and monitoring systems nowadays utilize multiple types of sensors to detect events of interest as and when they occur in the environment. However, due to the asynchrony among and diversity of sensors, information ...
Functional calibration for pan-tilt-zoom cameras in hybrid sensor networks
Wide-area context awareness is a crucial enabling technology for next generation smart buildings and surveillance systems. It is not practical to gather this context awareness by covering the entire building with cameras. However, significant gaps in ...
Surveillance camera scheduling: a virtual vision approach
We present a surveillance system, comprising wide field-of-view (FOV) passive cameras and pan/tilt/zoom (PTZ) active cameras, which automatically captures high-resolution videos of pedestrians as they move through a designated area. A wide-FOV static ...
