Pixels to precision: features fusion and random forests over labelled-based segmentation
A Naseer, A Jalal - 2023 20th International Bhurban …, 2023 - ieeexplore.ieee.org
Object classification is a crucial yet challenging vision ability to perfect The fundamental
objective is to educate computers to understand visuals the same way humans do. Due to …
objective is to educate computers to understand visuals the same way humans do. Due to …
Multimodal Objects Categorization by Fusing GMM and Multi-layer Perceptron
A Naseer, A Jalal - 2024 5th International Conference on …, 2024 - ieeexplore.ieee.org
Multi-object recognition resolves the need to instantaneously identify numerous things,
which is essential for develo** an in-depth understanding of the world of vision. Variations …
which is essential for develo** an in-depth understanding of the world of vision. Variations …
Automate appliances via gestures recognition for elderly living assistance
M Muneeb, H Rustam, A Jalal - 2023 4th International …, 2023 - ieeexplore.ieee.org
Smart homes have grown in popularity not only as a luxury but also because of the
numerous benefits they provide. In this research, a home automation system is developed …
numerous benefits they provide. In this research, a home automation system is developed …
Intelligent localization and deep human activity recognition through IoT devices
Ubiquitous computing has been a green research area that has managed to attract and
sustain the attention of researchers for some time now. As ubiquitous computing …
sustain the attention of researchers for some time now. As ubiquitous computing …
A Novel Sports Event Recognition using Pose Estimation and Multi-Fused Features
M Tayyab, A Jalal - … on Emerging Trends in Electrical, Control …, 2024 - ieeexplore.ieee.org
Several factors, including the dimension and locus of the limbs and head, and other pictures
within an environment, were used to determine the management of event identification and …
within an environment, were used to determine the management of event identification and …
Wearable Sensor-Based Activity Recognition over Statistical Features Selection and MLP Approach
F Nazar, A Jalal - … Conference on Emerging Trends in Electrical …, 2024 - ieeexplore.ieee.org
Supervising and examining the physical activities of different individuals by using wireless
sensors is beneficial in favor of recognizing postural positioning and moving actions in the …
sensors is beneficial in favor of recognizing postural positioning and moving actions in the …
Human-Human Interaction Recognition using Mask R-CNN and Multi-class SVM
MH Azhar, A Jalal - … on Emerging Trends in Electrical, Control …, 2024 - ieeexplore.ieee.org
Computer vision systems face significant challenges in human-human interaction
recognition in dynamic environments, particularly with cluttered backgrounds. In this paper …
recognition in dynamic environments, particularly with cluttered backgrounds. In this paper …
Human action recognition: a paradigm of best deep learning features selection and serial based extended fusion
Human action recognition (HAR) has gained significant attention recently as it can be
adopted for a smart surveillance system in Multimedia. However, HAR is a challenging task …
adopted for a smart surveillance system in Multimedia. However, HAR is a challenging task …
Intelligent Multimodal Human Behavior Recognition using Inertial and Video Sensors
IA Abro, A Jalal - 2024 International Conference on Frontiers of …, 2024 - ieeexplore.ieee.org
Tracking human actions, especially in the field of medicine, has encouraged interest in
computer vision, specifically for detecting gait anomalies to aid in rehabilitating patients with …
computer vision, specifically for detecting gait anomalies to aid in rehabilitating patients with …
Vehicle detection and classification via YOLOv4 and CNN over aerial images
Advanced traffic monitoring systems face major vehicle detection and classification
challenges. Conventional methods need significant computational resources and struggle to …
challenges. Conventional methods need significant computational resources and struggle to …