3 documents found, page 1 of 1
Sensor fusion approach for multiple human motion detection for indoor surveilla...
Abbasi, Ali; Queirós, Sandro; Costa, Nuno Miguel Cerqueira; Fonseca, Jaime C.; Borges, JoãoMulti-human detection and tracking in indoor surveillance is a challenging task due to various factors such as occlusions, illumination changes, and complex human-human and human-object interactions. In this study, we address these challenges by exploring the benefits of a low-level sensor fusion approach that combines grayscale and neuromorphic vision sensor (NVS) data. We first generate a custom dataset using...
Fusion object detection and action recognition to predict violent action
Rodrigues, Nelson Ricardo Pereira; Costa, Nuno Miguel Cerqueira; Melo, César Gonçalo Macedo; Abbasi, Ali; Fonseca, Jaime C.; Cardoso, PauloIn the context of Shared Autonomous Vehicles, the need to monitor the environment inside the car will be crucial. This article focuses on the application of deep learning algorithms to present a fusion monitoring solution which was three different algorithms: a violent action detection system, which recognizes violent behaviors between passengers, a violent object detection system, and a lost items detection sy...
Psychometric evaluation of Persian version of Diabetes Acceptance Scale (DAS)
Najafi Ghezeljeh, Tahereh; Sharif Nia, Hamid; Bagheri, Hossein; Abbasi, Ali; Keyvanloo Shahrestanaki, Sahar; Amiri Largani, Hossein; Maroco, JoãoBackground: Acceptance of diabetes is a psychological adaptation to the potential limitations of the disease. Poor acceptance of diabetes impairs efective self-management of diabetes, leading to worsening metabolic control. This study aimed at determining the psychometric properties of the Persian version of the Diabetes Acceptance Scale. Methods: This cross-sectional methodological study was performed on diabe...