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Proceedings Paper

The feasibility test of state-of-the-art face detection algorithms for vehicle occupant detection
Author(s): Andrey Makrushin; Jana Dittmann; Claus Vielhauer; Mirko Langnickel; Christian Kraetzer
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Paper Abstract

Vehicle seat occupancy detection systems are designed to prevent the deployment of airbags at unoccupied seats, thus avoiding the considerable cost imposed by the replacement of airbags. Occupancy detection can also improve passenger comfort, e.g. by activating air-conditioning systems. The most promising development perspectives are seen in optical sensing systems which have become cheaper and smaller in recent years. The most plausible way to check the seat occupancy by occupants is the detection of presence and location of heads, or more precisely, faces. This paper compares the detection performances of the three most commonly used and widely available face detection algorithms: Viola- Jones, Kienzle et al. and Nilsson et al. The main objective of this work is to identify whether one of these systems is suitable for use in a vehicle environment with variable and mostly non-uniform illumination conditions, and whether any one face detection system can be sufficient for seat occupancy detection. The evaluation of detection performance is based on a large database comprising 53,928 video frames containing proprietary data collected from 39 persons of both sexes and different ages and body height as well as different objects such as bags and rearward/forward facing child restraint systems.

Paper Details

Date Published: 8 February 2010
PDF: 10 pages
Proc. SPIE 7532, Image Processing: Algorithms and Systems VIII, 75320V (8 February 2010); doi: 10.1117/12.838964
Show Author Affiliations
Andrey Makrushin, Otto-von-Guericke-Univ. of Magdeburg (Germany)
Jana Dittmann, Otto-von-Guericke-Univ. of Magdeburg (Germany)
Claus Vielhauer, Univ. of Applied Sciences Brandenburg (Germany)
Mirko Langnickel, Technical Univ. of Berlin (Germany)
Christian Kraetzer, Otto-von-Guericke-Univ. of Magdeburg (Germany)


Published in SPIE Proceedings Vol. 7532:
Image Processing: Algorithms and Systems VIII
Jaakko T. Astola; Karen O. Egiazarian, Editor(s)

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