GLCM-Based Feature Combination for Extraction Model Optimization in Object Detection Using Machine Learning

arXiv:2404.04578v1 Announce Type: new
Abstract: In the era of modern technology, object detection using the Gray Level Co-occurrence Matrix (GLCM) extraction method plays a crucial role in object recognition processes. It finds applications in real-time scenarios such as security surveillance and autonomous vehicle navigation, among others. Computational efficiency becomes a critical factor in achieving real-time object detection. Hence, there is a need for a detection model with low complexity and satisfactory accuracy. This research aims to enhance computational efficiency by …

abstract applications arxiv autonomous autonomous vehicle combination computational cs.cv detection extraction feature machine machine learning matrix model optimization modern navigation object optimization processes real-time recognition role security surveillance technology type