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The effects of camera jitter for background subtraction algorithms on fused infrared-visible video streams

: Becker, Stefan; Scherer-Negenborn, Norbert; Thakkar, Pooja; Hübner, Wolfgang; Arens, Michael


Burgess, D. ; Society of Photo-Optical Instrumentation Engineers -SPIE-, Bellingham/Wash.:
Optics and Photonics for Counterterrorism, Crime Fighting, and Defence XII : Edinburgh, United Kingdom, September 26, 2016
Bellingham, WA: SPIE, 2016 (Proceedings of SPIE 9995)
Paper 99950H, 11 pp.
Conference "Optics and Photonics for Counterterrorism, Crime Fighting, and Defence" <12, 2016, Edinburgh>
Conference Paper
Fraunhofer IOSB ()
image fusion; background subtraction; Camera Jitter; multi-spectral imaging

This paper is a continuation of the work of Becker et al.1 In their work, they analyzed the robustness of various background subtraction algorithms on fused video streams originating from visible and infrared cameras. In order to cover a broader range of background subtraction applications, we show the effects of fusing infrared-visible video streams from vibrating cameras on a large set of background subtraction algorithms. The effectiveness is quantitatively analyzed on recorded data of a typical outdoor sequence with a fine-grained and accurate annotation of the images. Thereby, we identify approaches which can benefit from fused sensor signals with camera jitter. Finally conclusions on what fusion strategies should be preferred under such conditions are given.