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MULTI-CAMERA PEDESTRIAN DETECTION BY MEANS OF TRACK-TO-TRACK FUSION AND CAR2CAR COMMUNICATION

Topics: 2D and 3D Scene Understanding; Camera Networks and Vision; Feature Extraction; Image Registration; Object, Event and Scene Recognition, Retrieval and Indexing; Pattern Recognition in Image Understanding; Real-Time Vision; Tracking of People and Surveillance; Video Analysis

Authors: Anselm Haselhoff 1 ; Lars Hoehmann 1 ; Anton Kummert 1 ; Christian Nunn 2 ; Mirko Meuter 2 and Stefan Müller-Schneiders 2

Affiliations: 1 University of Wuppertal, Germany ; 2 Delphi Electronics & Safety, Germany

ISBN: 978-989-8425-47-8

Keyword(s): Pedestrian detection, AdaBoost, Object detection, Track-To-Track fusion, Car2Car communication.

Related Ontology Subjects/Areas/Topics: Applications ; Applications and Services ; Artificial Intelligence ; Biomedical Engineering ; Biomedical Signal Processing ; Camera Networks and Vision ; Computer Vision, Visualization and Computer Graphics ; Data Manipulation ; Feature Extraction ; Features Extraction ; Health Engineering and Technology Applications ; Human-Computer Interaction ; Image and Video Analysis ; Image Registration ; Informatics in Control, Automation and Robotics ; Methodologies and Methods ; Motion, Tracking and Stereo Vision ; Neurocomputing ; Neurotechnology, Electronics and Informatics ; Pattern Recognition ; Physiological Computing Systems ; Real-Time Vision ; Sensor Networks ; Signal Processing, Sensors, Systems Modeling and Control ; Soft Computing ; Software Engineering ; Tracking of People and Surveillance ; Video Analysis

Abstract: In this paper a system for fusion of pedestrian detections from multiple vehicles is presented. The application area is narrowed down to driver assistance systems, where single cameras are mounted in the moving vehicles. The main contribution of this paper is a comparison of three fusion algorithms based on real image data. The methods under review include Covariance Fusion, Covariance Intersection, and Covariance Union. An experimental setup is presented, with known ground truth positions of the detected objects. This information can be incorporated for the evaluation of the fusion methods. The system setup consists of two vehicles equipped with LANCOM® wireless access points, cameras, inertial measurement units (IMU) and IMU enhanced GPS receivers. Each vehicle detects pedestrians by means of the camera and an AdaBoost detection algorithm. The results are tracked and transmitted to the other vehicle in appropriate coordinates. Afterwards each vehicle is responsible for reasonable tr eatment or fusion of the detection data. (More)

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Paper citation in several formats:
Haselhoff, A.; Hoehmann, L.; Kummert, A.; Nunn, C.; Meuter, M. and Müller-Schneiders, S. (2011). MULTI-CAMERA PEDESTRIAN DETECTION BY MEANS OF TRACK-TO-TRACK FUSION AND CAR2CAR COMMUNICATION.In Proceedings of the International Conference on Computer Vision Theory and Applications - Volume 1: VISAPP, (VISIGRAPP 2011) ISBN 978-989-8425-47-8, pages 307-312. DOI: 10.5220/0003315603070312

@conference{visapp11,
author={Anselm Haselhoff. and Lars Hoehmann. and Anton Kummert. and Christian Nunn. and Mirko Meuter. and Stefan Müller{-}Schneiders.},
title={MULTI-CAMERA PEDESTRIAN DETECTION BY MEANS OF TRACK-TO-TRACK FUSION AND CAR2CAR COMMUNICATION},
booktitle={Proceedings of the International Conference on Computer Vision Theory and Applications - Volume 1: VISAPP, (VISIGRAPP 2011)},
year={2011},
pages={307-312},
publisher={SciTePress},
organization={INSTICC},
doi={10.5220/0003315603070312},
isbn={978-989-8425-47-8},
}

TY - CONF

JO - Proceedings of the International Conference on Computer Vision Theory and Applications - Volume 1: VISAPP, (VISIGRAPP 2011)
TI - MULTI-CAMERA PEDESTRIAN DETECTION BY MEANS OF TRACK-TO-TRACK FUSION AND CAR2CAR COMMUNICATION
SN - 978-989-8425-47-8
AU - Haselhoff, A.
AU - Hoehmann, L.
AU - Kummert, A.
AU - Nunn, C.
AU - Meuter, M.
AU - Müller-Schneiders, S.
PY - 2011
SP - 307
EP - 312
DO - 10.5220/0003315603070312

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