Abstract: We introduce the notion of subspace learning from image gradient orientations for appearance-based object recognition. As image data are typically noisy and noise is substantially different ...

The paper of this simulator can be found here: https://arxiv.org/abs/2511.09022. This is the upgraded version of my previous work RadHARSimulator V1: https://github ...

"We propose a novel object localization methodology with the purpose of boosting the localization accuracy of state-of-the-art object detection systems. Our model, given a search region, aims at ...

MATLAB (short for Matrix Laboratory) is a powerful software tool used for technical computing and visualization. It is widely used in a variety of fields, including engineering, science, finance, and ...

1 College of Mechanical Engineering, Guizhou Institute of Technology, Guiyang, China. 2 College of Food and Pharmaceutical Engineering, Guizhou Institute of Technology, Guiyang, China. The automated ...

Abstract: Detecting a moving object is very crucial in surveillance application. Many algorithms have been developed for object detection, recognition and analysis. The algorithms involve the ...

The study of naturalistic social behavior requires quantification of animals’ interactions. This is generally done through manual annotation—a highly time ...