Cognitive visual tracking and camera control

Bellotto, Nicola, Benfold, Ben, Harland, Hanno , Nagel, Hans-Hellmut, Pirlo, Nicola, Reid, Ian, Sommerlade, Eric and Zhao, Chuan (2012) Cognitive visual tracking and camera control. Computer Vision and Image Understanding, 116 (3). pp. 457-471. ISSN 1077-3142

Full content URL: http://dx.doi.org/10.1016/j.cviu.2011.09.011

This is the latest version of this item.

Documents
Cognitive visual tracking and camera control
[img]
[Download]
[img]
Preview
PDF
Bellotto2011preprint.pdf - Whole Document

2MB
Item Type:Article
Item Status:Live Archive

Abstract

Cognitive visual tracking is the process of observing and understanding the behaviour of a moving person. This paper presents an efficient solution to extract, in real-time, high-level information from an observed scene, and generate the most appropriate commands for a set of pan-tilt-zoom (PTZ) cameras in a surveillance scenario. Such a high-level feedback control loop, which is the main novelty of our work, will serve to reduce uncertainties in the observed scene and to maximize the amount of information extracted from it. It is implemented with a distributed camera system using SQL tables as virtual communication channels, and Situation Graph Trees for knowledge representation, inference and high-level camera control. A set of experiments in a surveillance scenario show the effectiveness of our approach and its potential for real applications of cognitive vision.

Keywords:cognitive vision, human tracking, active cameras
Subjects:G Mathematical and Computer Sciences > G700 Artificial Intelligence
G Mathematical and Computer Sciences > G740 Computer Vision
Divisions:College of Science > School of Computer Science
ID Code:4823
Deposited On:09 Dec 2011 13:46

Available Versions of this Item

Repository Staff Only: item control page