16 October 2013 Learning transmodal person detectors from single spectral training sets
Author Affiliations +
Abstract
Annotating data for training a person detector is a tedious procedure. Therefore it is worthwhile to use freely available datasets. When detecting in the infrared spectrum it is not obvious that person images from the visible spectrum can be used to train a detector operable in IR. We show that it is possible to train a transmodel detector, which can be used to detect in IR as well as in the visible spectrum. Therefor we use integral channel features in combination with boosting based feature selection, in order to analyze which features are effective for generating the effect of transmodality.
© (2013) COPYRIGHT Society of Photo-Optical Instrumentation Engineers (SPIE). Downloading of the abstract is permitted for personal use only.
Hilke Kieritz, Hilke Kieritz, Wolfgang Hübner, Wolfgang Hübner, Michael Arens, Michael Arens, "Learning transmodal person detectors from single spectral training sets", Proc. SPIE 8901, Optics and Photonics for Counterterrorism, Crime Fighting and Defence IX; and Optical Materials and Biomaterials in Security and Defence Systems Technology X, 89010F (16 October 2013); doi: 10.1117/12.2028651; https://doi.org/10.1117/12.2028651
PROCEEDINGS
9 PAGES


SHARE
RELATED CONTENT

Automatic target detection in cluttered IR images
Proceedings of SPIE (July 06 1998)
Performance Requirements For An IR Staring Sensor
Proceedings of SPIE (May 13 1984)
Infrared Technology For Imaging
Proceedings of SPIE (February 19 1973)
Japanese Advanced Meteorological Imager
Proceedings of SPIE (January 04 2005)

Back to Top