Biometric feature detection from surveillance data using non-calibrated techniques

Olli Rantula*, Jorma Skytta

*Corresponding author for this work

Research output: Chapter in Book/Report/Conference proceedingConference contributionScientificpeer-review

Abstract

The development of high quality video surveillance systems provides the ability to perform measurements from image data. This paper describes and demonstrates the extraction of basic human biometric features from surveillance video camera data using an uncalibrated single-view surveillance camera system. Perspective-based photogrammetric techniques are applied in situations where only minimal real world information is available. This information usually includes the reference height and two orthogonal sets of parallel lines on a reference plane. These all must be detectable both in the real world and be in the field of-view of the camera. Using this type of setup, the orthogonal distance from the reference plane can be computed at any scene point. The measured biometric features include height and body dimensions. Additionally the gait features and the walking profile can be estimated when photogrammetry techniques are extended from a single image to a video stream. Such information can be used for forensic investigation and in various types of other applications where photogrammetric information is needed. This can be done without further information about the camera calibration or position.

Original languageEnglish
Title of host publication2017 4TH INTERNATIONAL CONFERENCE ON SIGNAL PROCESSING AND INTEGRATED NETWORKS (SPIN)
PublisherIEEE
Pages629-634
Number of pages6
ISBN (Print)978-1-5090-2797-2
DOIs
Publication statusPublished - 2017
MoE publication typeA4 Article in a conference publication
EventInternational Conference on Signal Processing and Integrated Networks - Noida, India
Duration: 2 Feb 20173 Feb 2017
Conference number: 4

Conference

ConferenceInternational Conference on Signal Processing and Integrated Networks
Abbreviated titleSPIN
CountryIndia
CityNoida
Period02/02/201703/02/2017

Keywords

  • HEIGHT

Cite this