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conference paper not in proceedings

Motion Interaction Field for Accident Detection in Traffic Surveillance Video

Yun, Kimin
•
Jeong, Hawook
•
Yi, Kwang Moo  
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2014
2nd International Conference on Pattern Recognition (ICPR)

This paper presents a novel method for modeling of interaction among multiple moving objects to detect traffic accidents. The proposed method to model object interactions is motivated by the motion of water waves responding to moving objects on water surface. The shape of the water surface is modeled in a field form using Gaussian kernels, which is referred to as the Motion Interaction Field (MIF). By utilizing the symmetric properties of the MIF, we detect and localize traffic accidents without solving complex vehicle tracking problems. Experimental results show that our method outperforms the existing works in detecting and localizing traffic accidents.

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Type
conference paper not in proceedings
DOI
10.1109/ICPR.2014.528
Author(s)
Yun, Kimin
•
Jeong, Hawook
•
Yi, Kwang Moo  
•
Kim, Soo Wan
•
Choi, Jin Young
Date Issued

2014

Peer reviewed

REVIEWED

Written at

OTHER

EPFL units
CVLAB  
Event nameEvent placeEvent date
2nd International Conference on Pattern Recognition (ICPR)

Stockholm, Sweden

August 24-28, 2014

Available on Infoscience
February 10, 2016
Use this identifier to reference this record
https://infoscience.epfl.ch/handle/20.500.14299/123389
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