Vehicle Classification in Acoustic Sensor Networks Based on Hybrid ...
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Abstract: In this paper, we consider a single sensor classification problem, focusing on classifying the types of the moving vehicles.
Abstract—In this paper, we consider a single sensor classification problem, focusing on classifying the types of the moving vehicles.
In this article, we propose a novel multi-task hybrid dictionary learning approach for moving vehicle classification tasks using multi-sensor networks to ...
Nov 3, 2018 · In this article, we propose a novel multi-task hybrid dictionary learning approach for moving vehicle classification tasks using ...
In this article, we propose a novel multi-task hybrid dictionary learning approach for moving vehicle classification tasks using multi-sensor networks to ...
In this paper, we propose a discriminative dictionary learning framework for vehicle classification to improve the classification accuracy, and study the ...
In this article, we propose a novel multi-task hybrid dictionary learning approach for moving vehicle classification tasks using multi-sensor networks to ...
By using microphone the authors collect large amount of train data and classify vehicles depending on that data by using KNN, Decision tree, NAÏVE BAYES for ...
We experimentally demonstrate the benefits of joint information fusion based on fisher discrimination dictionary learning from different sensors in vehicle ...
In this paper, we specifically study object detection in wireless surveillance networks using acoustic sensors. We determine the classes, animal, human and ...