May 18, 2017 · This paper proposes a velocity learning method based on the directional Gaussian model to detect speeding events in surveillance scenarios.
Abstract—This paper proposes a velocity learning method based on directional Gaussian model to detect speeding events in surveillance scenarios.
A velocity learning method based on the directional Gaussian model to detect speeding events in surveillance scenarios using an improved Fisher model to ...
This paper proposes a velocity learning method based on the directional Gaussian model to detect speeding events in surveillance scenarios.
Dive into the research topics of 'Directional Gaussian Model for Automatic Speeding Event Detection'. Together they form a unique fingerprint. Sort by; Weight ...
In this study, a Gaussian Mixture Model (GMM)-based approach is developed to estimate more accurate traffic speeds and classified vehicle volumes using single- ...
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Dec 13, 2010 · This is performed by estimating the direction model by using all the frames of that sequence; the direction model will contain the major motion ...
Nov 25, 2023 · The stochastic representation module uses recurrent networks to model historical motion as a conditional Gaussian distribution and infers motion ...
The method is based on Gaussian Mixture. Variational Autoencoder, which can learn feature representations of the normal samples as a Gaussian Mixture Model ...
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