Nighttime Driver Behavior Prediction Using Taillight Signal Recognition via CNN-SVM Classifier
AH Barshooi, E Bagheri - arXiv preprint arXiv:2310.16706, 2023 - arxiv.org
This paper aims to enhance the ability to predict nighttime driving behavior by identifying
taillights of both human-driven and autonomous vehicles. The proposed model incorporates …
taillights of both human-driven and autonomous vehicles. The proposed model incorporates …
Imbalanced Data Classification with Fuzzy Logic and Universal Image Fusion for Gearbox Defect Detection
AH Barshooi, A Yazdanijoo, E Bagheri… - 2024 20th CSI …, 2024 - ieeexplore.ieee.org
Finding data with different appearance defects and imaging them on a large scale is a
laborious and costly affair. In this paper, an image-based model for detecting and classifying …
laborious and costly affair. In this paper, an image-based model for detecting and classifying …
Multi Step Knowledge Distillation Framework For Action Recognition in Still Images
AH Saleknia, A Ayatollahi - 2024 20th CSI International …, 2024 - ieeexplore.ieee.org
Human Action Recognition (HAR) is a challenging computer vision task due to issues like
lack of temporal information, significant intra-class variations, cluttered backgrounds, and …
lack of temporal information, significant intra-class variations, cluttered backgrounds, and …
NEM: Nested Ensemble Model for scene recognition
Scene recognition predicts the category of the scene in which an image is taken. With
ensemble learning as its basis, we propose a novel scene recognition method called the …
ensemble learning as its basis, we propose a novel scene recognition method called the …