2009 3rd International Conference on Signals, Circuits and Systems (SCS), 2009
... Daniel Olmeda, Arturo de la Escalera and Jos M Armingol Intelligent Systems Laboratory, Depar... more ... Daniel Olmeda, Arturo de la Escalera and Jos M Armingol Intelligent Systems Laboratory, Department of Systems Engineering and Automation Universidad Carlos III de Madrid C./ Butarque 15, 28911 ... Index Terms—Computer Vision, ITS, ADAS, Pedestrian, De-tection, Tracking ...
The lack of trustworthy senso applications a tough task. In this paper a fusi uses two sensors: f... more The lack of trustworthy senso applications a tough task. In this paper a fusi uses two sensors: far infrared camera vis scanner to detect pedestrian for ADAS presented. Both sensors have different fie different detection zones are created accordin of sensors available. The proposed algorithm high level information, providing a hybrid Experimental results show that pedestrian improved thanks to the use of several sensors.
Advanced Microsystems for Automotive Applications 2011, 2011
This article describes a methodology for extracting interesting areas in far infrared (FIR) image... more This article describes a methodology for extracting interesting areas in far infrared (FIR) images that may contain pedestrians. It is part of a larger set of algorithms that are part of an Advanced Driver Assistance System (ADAS). The grey level of an object in a FIR image can shift due to changes of the sensor’s temperature. In this paper a
This paper presents an experimental study on pedestrian classification and detection in far infra... more This paper presents an experimental study on pedestrian classification and detection in far infrared (FIR) images. The study includes an in-depth evaluation of several combinations of features and classifiers, which include features previously used for daylight scenarios, as well as a new descriptor (HOPE -Histograms of Oriented Phase Energy), specifically targeted to infrared images, and a new adaptation of a latent variable SVM approach to FIR images. The presented results are validated on a new classification and detection dataset of FIR images collected in outdoor environments from a moving vehicle. The classification space contains 16152 pedestrians and 65440 background samples evenly selected from several sequences acquired at different temperatures and different illumination conditions. The detection dataset consist on 15224 images with ground truth information. The authors are making this dataset public for benchmarking new detectors in the area of intelligent vehicles and field robotics applications.
2009 3rd International Conference on Signals, Circuits and Systems (SCS), 2009
... Daniel Olmeda, Arturo de la Escalera and Jos M Armingol Intelligent Systems Laboratory, Depar... more ... Daniel Olmeda, Arturo de la Escalera and Jos M Armingol Intelligent Systems Laboratory, Department of Systems Engineering and Automation Universidad Carlos III de Madrid C./ Butarque 15, 28911 ... Index Terms—Computer Vision, ITS, ADAS, Pedestrian, De-tection, Tracking ...
The lack of trustworthy senso applications a tough task. In this paper a fusi uses two sensors: f... more The lack of trustworthy senso applications a tough task. In this paper a fusi uses two sensors: far infrared camera vis scanner to detect pedestrian for ADAS presented. Both sensors have different fie different detection zones are created accordin of sensors available. The proposed algorithm high level information, providing a hybrid Experimental results show that pedestrian improved thanks to the use of several sensors.
Advanced Microsystems for Automotive Applications 2011, 2011
This article describes a methodology for extracting interesting areas in far infrared (FIR) image... more This article describes a methodology for extracting interesting areas in far infrared (FIR) images that may contain pedestrians. It is part of a larger set of algorithms that are part of an Advanced Driver Assistance System (ADAS). The grey level of an object in a FIR image can shift due to changes of the sensor’s temperature. In this paper a
This paper presents an experimental study on pedestrian classification and detection in far infra... more This paper presents an experimental study on pedestrian classification and detection in far infrared (FIR) images. The study includes an in-depth evaluation of several combinations of features and classifiers, which include features previously used for daylight scenarios, as well as a new descriptor (HOPE -Histograms of Oriented Phase Energy), specifically targeted to infrared images, and a new adaptation of a latent variable SVM approach to FIR images. The presented results are validated on a new classification and detection dataset of FIR images collected in outdoor environments from a moving vehicle. The classification space contains 16152 pedestrians and 65440 background samples evenly selected from several sequences acquired at different temperatures and different illumination conditions. The detection dataset consist on 15224 images with ground truth information. The authors are making this dataset public for benchmarking new detectors in the area of intelligent vehicles and field robotics applications.
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Papers by D. Olmeda