Title
Automatic inference of geometric camera parameters and intercamera topology in uncalibrated disjoint surveillance cameras
Author
den Hollander, R.J.M.
Bouma, H.
Baan, J.
Eendebak, P.T.
van Rest, J.H.C.
Contributor
Burgess, D. (editor)
Publication year
2015
Abstract
Person tracking across non-overlapping cameras and other types of video analytics benefit from spatial calibration information that allows an estimation of the distance between cameras and a relation between pixel coordinates and world coordinates within a camera. In a large environment with many cameras, or for frequent ad-hoc deployments of cameras, the cost of this calibration is high. This creates a barrier for the use of video analytics. Automating the calibration allows for a short configuration time, and the use of video analytics in a wider range of scenarios, including ad-hoc crisis situations and large scale surveillance systems. We show an autocalibration method entirely based on pedestrian detections in surveillance video in multiple non-overlapping cameras. In this paper, we show the two main components of automatic calibration. The first shows the intra-camera geometry estimation that leads to an estimate of the tilt angle, focal length and camera height, which is important for the conversion from pixels to meters and vice versa. The second component shows the inter-camera topology inference that leads to an estimate of the distance between cameras, which is important for spatio-temporal analysis of multi-camera tracking. This paper describes each of these methods and provides results on realistic video data. © (2015) COPYRIGHT Society of Photo-Optical Instrumentation Engineers (SPIE).
Subject
Observation, Weapon & Protection Systems Human and Operational Modelling
II - Intelligent Imaging NO - Networked Organisations
TS - Technical Sciences ; ELSS
Defence Research
Image processing
Defence, Safety and Security
Cameras
Surveillance
Video
Calibration
Analytics
Surveillance systems
To reference this document use:
http://resolver.tudelft.nl/uuid:58295033-d328-4ac1-9631-ecd7957e8a80
DOI
https://doi.org/10.1117/12.2194435
TNO identifier
528829
Publisher
SPIE, Bellingham, WA
Source
Optics and Photonics for Counterterrorism, Crime Fighting, and Defence XI; and Optical Materials and Biomaterials in Security and Defence Systems Technology XII, 21 September 2015, Toulouse France
Series
Proceedings of SPIE
Article number
96520D
Document type
conference paper