Motion Interaction Field for Accident Detection in Traffic Surveillance Video

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.

Presented at:
2nd International Conference on Pattern Recognition (ICPR), Stockholm, Sweden, August 24-28, 2014

 Record created 2016-02-10, last modified 2018-03-17

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