Title :
Pedestrian tracking in infrared from moving vehicles
Author :
Jungling, Kai ; Arens, Michael
Author_Institution :
Fraunhofer Inst. of Optronics, Syst. Technol. & Image Exploitation (IOSB), Ettlingen, Germany
Abstract :
The automatic detection and tracking of pedestrians in imagery constitute important and challenging problems both in computer vision and driver assistance systems. We address these problems for the case of a forward looking monocular infrared camera under strong vehicle induced camera motion. An integrated detection & tracking strategy is introduced based on a state-of-the-art feature based object detector originally developed for images in the visual spectrum. The proposed pedestrian detection algorithm can be applied to both infrared and visual imagery. We show the difficulties arising from the specifics of infrared data under strong camera motion and how to tackle these problems by replacing common motion models like the Kalman filter by a feature matching approach.
Keywords :
cameras; computer vision; infrared imaging; object detection; tracking; traffic engineering computing; Kalman filter; computer vision; driver assistance system; feature matching; infrared imagery; monocular infrared camera; object detection; pedestrian tracking; visual imagery; visual spectrum; Application software; Cameras; Computer vision; Image edge detection; Infrared detectors; Infrared imaging; Infrared spectra; Object detection; Trajectory; Vehicle detection;
Conference_Titel :
Intelligent Vehicles Symposium (IV), 2010 IEEE
Conference_Location :
San Diego, CA
Print_ISBN :
978-1-4244-7866-8
DOI :
10.1109/IVS.2010.5548132