Pedestrian Detection in Far-Infrared Daytime Images Using a Hierarchical Codebook of SURF
AbstractOne of the main challenges in intelligent vehicles concerns pedestrian detection for driving assistance. Recent experiments have showed that state-of-the-art descriptors provide better performances on the far-infrared (FIR) spectrum than on the visible one, even in daytime conditions, for pedestrian classification. In this paper, we propose a pedestrian detector with on-board FIR camera. Our main contribution is the exploitation of the specific characteristics of FIR images to design a fast, scale-invariant and robust pedestrian detector. Our system consists of three modules, each based on speeded-up robust feature (SURF) matching. The first module allows generating regions-of-interest (ROI), since in FIR images of the pedestrian shapes may vary in large scales, but heads appear usually as light regions. ROI are detected with a high recall rate with the hierarchical codebook of SURF features located in head regions. The second module consists of pedestrian full-body classification by using SVM. This module allows one to enhance the precision with low computational cost. In the third module, we combine the mean shift algorithm with inter-frame scale-invariant SURF feature tracking to enhance the robustness of our system. The experimental evaluation shows that our system outperforms, in the FIR domain, the state-of-the-art Haar-like Adaboost-cascade, histogram of oriented gradients (HOG)/linear SVM (linSVM) and MultiFtrpedestrian detectors, trained on the FIR images. View Full-Text
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Besbes, B.; Rogozan, A.; Rus, A.-M.; Bensrhair, A.; Broggi, A. Pedestrian Detection in Far-Infrared Daytime Images Using a Hierarchical Codebook of SURF. Sensors 2015, 15, 8570-8594.
Besbes B, Rogozan A, Rus A-M, Bensrhair A, Broggi A. Pedestrian Detection in Far-Infrared Daytime Images Using a Hierarchical Codebook of SURF. Sensors. 2015; 15(4):8570-8594.Chicago/Turabian Style
Besbes, Bassem; Rogozan, Alexandrina; Rus, Adela-Maria; Bensrhair, Abdelaziz; Broggi, Alberto. 2015. "Pedestrian Detection in Far-Infrared Daytime Images Using a Hierarchical Codebook of SURF." Sensors 15, no. 4: 8570-8594.