Far infrared pedestrian detection and tracking for night driving

@article{Olmeda2010FarIP,
  title={Far infrared pedestrian detection and tracking for night driving},
  author={Daniel Olmeda and Arturo de la Escalera and Jos{\'e} Mar{\'i}a Armingol},
  journal={Robotica},
  year={2010},
  volume={29},
  pages={495 - 505}
}
SUMMARY This paper presents a module for pedestrian detection from a moving vehicle in low-light conditions. The algorithm make use of a single far infrared camera based on a microbolometer. Images of the area ahead of the vehicle are analyzed to determine if any pedestrian might be in its trajectory. Detection is achieved by searching for distributions of temperatures in the scene similar to that of the human body. Those areas with an appropriate temperature, size, and position in the image… 
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22 Citations
Background Citations
6
Methods Citations
3

22 Citations

Citation Type

Citation Type

Phase Spread Segmentation of Pedestrians in Far Infrared Images
TLDR
By applying this method large areas of the image can be safely ignored, reducing the computation time of the classifier, and this method has been tested in the IVVI experimental vehicle in real urban driving scenarios.
Pedestrian detection in thermal images: An automated scale based region extraction with curvelet space validation
Pedestrian detection in far infrared images
TLDR
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 are presented.
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TLDR
This chapter introduces a comparison of three different algorithms for real-time and robust pedestrian detection in the infrared spectrum and proposes to use simple rules as conflict resolution mechanism when the outputs of the three algorithms do not coincide.
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TLDR
A pedestrian detection system based on discrete features in infrared images that creates a region of interest in the image, which is classified as a pedestrian / non-pedestrian by an SVM classifier.
Automatic multiple moving humans detection and tracking in image sequences taken from a stationary thermal infrared camera
Thermal-Infrared Pedestrian ROI Extraction through Thermal and Motion Information Fusion
TLDR
This paper investigates the robustness of a new thermal-infrared pedestrian detection system under different outdoor environmental conditions and draws firm conclusions about the conditions under which it can be affirmed that it is efficient to use the proposal to robustly extract human ROIs.
A Study on Recent Developments and Issues with Obstacle Detection Systems for Automated Vehicles
TLDR
It is suggested that combining different technologies for obstacle detection gives a more accurate representation of the driving environment and that further valiant effort is needed to guarantee 100% precision and accuracy.
Part based pedestrian detection based on Logic inference
TLDR
The presented method is applied to a pedestrian classification problem in urban environments and has been tested in an Intelligent Transportation System (ITS) platform as part of an Advanced Driver Assistance Systems (ADAS) platform.
Fast Pedestrian Detection Using a Night Vision System for Safety Driving
TLDR
This paper proposes a rapid pedestrian-detection algorithm by using energy symmetry and oriented center-symmetric local binary pattern (OCS-LBP) features based on luminance saliency to detect pedestrians in thermal images.
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References

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