Deep learning based human presence detection

QR Code

Deep learning based human presence detection

Human detection and tracking have been progressively demanded in various industries. The concern over human safety has inhibited the deployment of advanced and collaborative robotics, mainly attributed to the dimensionality limitation of present safety sensing. This study entails developing a deep l...

Full description

Bibliographic Details
Main Authors:	Venketaramana, Balachandran, Muhammad Nur Aiman, Shapiee, Ahmad Fakhri, Ab. Nasir, Mohd Azraai, Mohd Razman, Anwar P. P., Abdul Majeed
Format:	Article
Language:	English
Published:	Penerbit UMP 2020
Subjects:	TK Electrical engineering. Electronics Nuclear engineering
Online Access:	http://umpir.ump.edu.my/id/eprint/33638/ http://umpir.ump.edu.my/id/eprint/33638/1/Deep%20learning%20based%20human%20presence%20detection.pdf

Similar Items

Vision-based Human Presence Detection by Means of Transfer Learning Approach
by: Tang, Jin Cheng, et al.
Published: (2022)

Fine-tuned RetinaNet models for Vision-based Human Presence Detection
by: Tang, Jin Cheng, et al.
Published: (2022)

Deep learning for medium-scale agricultural crop detection through aerial view images
by: Lau, Wei Hong, et al.
Published: (2023)

Vision-based human detection by fine-tuned SSD models
by: Tang, Jin Cheng, et al.
Published: (2022)

Development of audio-visual speech recognition using deep-learning technique
by: How, Chun Kit, et al.
Published: (2022)

Heartbeat murmurs detection in phonocardiogram recordings via transfer learning
by: Almanifi, Omair Rashed Abdulwareth, et al.
Published: (2022)

Formulation of a deep learning model for automated detection via segmentation of lung cancer
by: Liew, Yee Zhing, et al.
Published: (2024)

Badminton smashing recognition through video performance by using deep learning
by: Yip, Zi Ying, et al.
Published: (2022)

The Classification of Skateboarding Tricks by Means of the Integration of Transfer Learning and Machine Learning Models
by: Muhammad Nur Aiman, Shapiee, et al.
Published: (2020)

Pallet-level classification using principal component analysis in ensemble learning model
by: Choong, Chun Sern, et al.
Published: (2020)

Glove defect detection via YOLO V5
by: Yong, Chen How, et al.
Published: (2021)

The condition based monitoring for bearing health
by: Lim, Weng Zhen, et al.
Published: (2020)

A real-time approach of diagnosing rice leaf disease using deep learning-based faster R-CNN framework
by: Bari, Bifta Sama, et al.
Published: (2021)

Surface defect detection : A feature-based transfer learning approach
by: Abdul Majeed, Anwar P. P., et al.
Published: (2024)

The identification of RFID signal using k-means for pallet-level tagging
by: Ahmad Fakhri, Ab. Nasir, et al.
Published: (2020)

ReSTiNet: An efficient deep learning approach to improve human detection accuracy
by: Shahriar Shakir, Sumi, et al.
Published: (2023)

Ball classification through object detection using deep learning for handball
by: Arzielah Ashiqin, Alwi, et al.
Published: (2020)

Automatic identification and categorize zone of RFID reading in warehouse management system
by: Choong, Chun Sern, et al.
Published: (2020)

The classification of heartbeat PCG signals via transfer learning
by: Almanifi, Omair Rashed Abdul Wareth, et al.
Published: (2021)

RSSI-based human presence detection system for energy saving automation
by: Habaebi, Mohamed Hadi, et al.
Published: (2017)

Analysis of auditory evoked potential signals using wavelet transform and deep learning techniques
by: Islam, Md Nahidul, et al.
Published: (2020)

The classiﬁcation of impact signal of 6 DOF cobot by means of machine learning model
by: Kai, Gavin Lim Jiann, et al.
Published: (2022)

Comparison of support vector machine and friis equation for identification of pallet-level tagging using RFID signal
by: Ahmad Fakhri, Ab. Nasir, et al.
Published: (2020)

The diagnosis of diabetic retinopathy by means of transfer learning and fine-tuned dense layer pipeline
by: Abdo Salman, Abdulaziz, et al.
Published: (2020)

Integration of Enhanced Background Filtering and Wavelet Fusion for High Visibility and Detection Rate of Deep Sea Underwater Image of Underwater Vehicle
by: Ahmad Shahrizan, Abdul Ghani, et al.
Published: (2017)

Traffic sign classification using transfer learning: An investigation of feature-combining model
by: Lim, Wee Sheng, et al.
Published: (2021)

Hybrid classification method to detect the presence of human in a smart building environment
by: Nurul Farzana, Ahmad Mahmud, et al.
Published: (2021)

The classification of skateboarding tricks by means of the integration of transfer learning models and K-Nearest neighbors
by: Muhammad Nur Aiman, Shapiee, et al.
Published: (2022)

The classification of skateboarding Trick Manoeuvres: A Frequency-Domain Evaluation
by: Ibrahim, Muhammad Ar Rahim, et al.
Published: (2020)

Unsupervised Fertigation and Machine Learning for Crop Vegetation Parameter Analysis
by: Mohd Izzat, Mohd Rahman, et al.
Published: (2023)

Automated detection of knee cartilage region in X-ray image
by: Teo, Jia Chern, et al.
Published: (2022)

The classification of impact signal of 6 DOF cobot by means of machine learning model
by: Kai, Gavin Lim Jiann, et al.
Published: (2022)

Sign language recognition using deep learning through LSTM and CNN
by: Kiran, Pandian, et al.
Published: (2023)

Human behaviors classification using deep learning technique
by: Shun, Cheang Chi, et al.
Published: (2022)

Mode choice prediction using machine learning technique for a door-to-door journey in Kuantan City
by: Nur Fahriza, Mohd Ali, et al.
Published: (2020)

Deep learning-based classification model for botnet attack detection
by: Ahmed, Abdulghani Ali, et al.
Published: (2020)

Investigation of features for classification RFID reading between two RFID reader in various support vector machine kernel function
by: Choong, Chun Sern, et al.
Published: (2022)

The classification of motor imagery response: an accuracy enhancement through the ensemble of random subspace k-NN
by: Rashid, Mamunur, et al.
Published: (2021)

Electronic components detection and recognition using deep learning for learning purpose
by: Wan Nur Azhani, Wan Samsudin, et al.
Published: (2021)

Real-time robotic grasping and localization using deep learning-based object detection technique
by: Farag, Mohannad, et al.
Published: (2019)