Results 51 to 60 of about 782 (175)
This study proposes an Augmented Haar Cascade Classifier (AHCC) to enhance real-time ball detection for humanoid robots operating in dynamic environments.
Gembong Edhi Setyawan +4 more
doaj +1 more source
Sistem Deteksi Wajah dengan Modifikasi Metode Viola Jones
Deteksi wajah manusia merupakan salah satu topik yang paling banyak dipelajari di bidang computer vision. Tujuan deteksi wajah adalah untuk mengetahui ada atau tidaknya wajah pada suatu gambar.
Adinda Rizkita Syafira, Gunawan Ariyanto
doaj +1 more source
Robustness Analysis of Distributed CNN Model Training in Expression Recognition
Facial expression recognition is vital in pattern recognition and affective computing. With the advancement of deep learning, its performance has improved, yet challenges remain in nonlaboratory environments due to occlusion, poor lighting, and varying head poses.
Jun Li, Jun Wan
wiley +1 more source
Evaluation Of Haar Cascade Classifiers Designed For Face Detection
In the past years a lot of effort has been made in the field of face detection. The human face contains important features that can be used by vision-based automated systems in order to identify and recognize individuals. Face location, the primary step of the vision-based automated systems, finds the face area in the input image.
R. Padilla +2 more
openaire +2 more sources
With the proliferation of Internet of Things (IoT) devices, broadband signal detection in low‐signal‐to‐noise ratio (SNR) non‐cooperative environments presents significant challenges. This letter proposes two lightweight modules integrated into the YOLOv8 framework, which effectively reduces computational complexity while improving detection accuracy ...
Deming Hu +4 more
wiley +1 more source
Haar Cascade Classifier and Adaboost Algorithm for Face Detection with the Viola-Jones Method
Face detection is a significant challenge in image processing and computer vision, with broad security, identity recognition, and human-computer interaction applications.
Mohammad Saichu Nidom
doaj +1 more source
Advanced CNN Architecture for Intelligent Driver Drowsiness Detection
The paper proposes a hybrid Drowsiness Detection Network (DDN) based on Convolutional Neural Network (CNN) and Long Short‐Term Memory (LSTM). The Dlib's 68‐point model approach is used for extracting the Region of Interest (ROI). The proposed DDN model achieves 99.65% precision, 99.78% recall, 99.61% F1‐score and 99.73% accuracy on YawDD and 98.34 ...
Jyoti Pandey, Abhijit Asati
wiley +1 more source
Monitoring System of Drowsiness and Lost Focused Driver Using Raspberry Pi
Background: Drowsiness condition is one of the significant factors often encountered when an accident occurs. We aimed to detect a method to prevent accidents caused by drowsiness and lost a focused driver.
Kusworo ADI +3 more
doaj +1 more source
A real‐time embedded perception pipeline tailored for ITS and AVs, with a focus on soft deadline adherence and timing‐aware deployment. We deploy a post‐training quantized YOLOv8n model on an NVIDIA Jetson Orin Nano using a ROS 2‐based architecture and stereo input from a ZED 2i camera.
Saranya M, Archana N, Rishi Koushik G
wiley +1 more source
ABSTRACT Music mood classification supports recommendation, retrieval, and wellness applications, yet reported methods and evaluations vary widely across studies. Following the PRISMA systematic review methodology, this paper synthesises 39 peer‐reviewed works between 2009 and 2025 to summarise common practice across feature design, model families ...
Nathaniel Timothy Pitts +2 more
wiley +1 more source

