AIR UNIVERSITY
DEPARTMENT OF COMPUTER SCIENCE AND ENGINEERING
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ntelligent
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edia
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enter (IMC)
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Drone and Aerial Capturing
Multi Object Monitoring on Natural Images
Vehicle Detetion and Tracking
Scene Understanding and Object Recognition
Facial Expression Recognition, Eye Detection
Human Gait/Behavior/Activity Recognition
Human-Human, Human-Object Interaction
Human Posture Estimation/Detection/Tracking
Security Enhancement and IoT Based Systems
Video Codec/ Compression Technologies
Wearable Sensors and Signal Processing
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Human Activity/Behavior Recognition
Detecting Complex 3D Human Motions with Body Model Low-Rank Representation for Real-Time Smart Activity Monitoring System
Ahmad Jalal, et al.
Robust human activity recognition from depth video using spatiotemporal multi-fused features
Ahmad Jalal, et al.
A Depth Video-based Human Detection and Activity Recognition using Multi-features and Embedded Hidden Markov Models for Health Care Monitoring Systems
Ahmad Jalal, et al.
Human Depth Sensors-Based Activity Recognition Using Spatiotemporal Features and Hidden Markov Model for Smart Environments
Ahmad Jalal, et al.
Depth Images-based Human Detection, Tracking and Activity Recognition Using Spatiotemporal Features and Modified HMM
Ahmad Jalal, et al.
A Hybrid Feature Extraction Approach for Human Detection, Tracking and Activity Recognition Using Depth Sensors
Ahmad Jalal, et al.
Dense RGB-D Map-Based Human Tracking and Activity Recognition using Skin Joints Features and Self-Organizing Map
Ahmad Jalal, et al.
A Depth Video Sensor-Based Life-Logging Human Activity Recognition System for Elderly Care in Smart Indoor Environments
Ahmad Jalal, et al.
Depth Video-based Human Activity Recognition System Using Translation and Scaling Invariant Features for Life Logging at Smart Home
Ahmad Jalal, et al.
Recognition of Human Home Activities via Depth Silhouettes and R Transformation for Smart Homes
Ahmad Jalal, et al.
Human Activity Recognition via the Features of Labeled Depth Body Parts
Ahmad Jalal, et al.
Depth Map-based Human Activity Tracking and Recognition Using Body Joints Features and Self-Organized Map
Ahmad Jalal, et al.