Guest Editors
Dr. Sultan Daud Khan, National University of Technology, Pakistan.
Prof. Saleh Basalamah, Umm Al-Qura University, Saudi Arabia.
Dr. Farhan Riaz, University of Lincoln, UK.
Summary
Object detection and tracking in videos has become an increasingly important area of research due to its potential applications in a variety of domains such as video surveillance, autonomous driving, robotics, and healthcare. With the growing popularity of deep learning techniques, computer vision researchers have made significant strides in developing novel approaches for object detection and tracking.
This special issue will provide a platform for researchers to present their latest findings, exchange ideas, and discuss challenges related to object detection and tracking in videos. We invite original research articles, reviews, and surveys related to this topic. Additionally, this issue will also welcome topics on action recognition, anomaly detection, and behavior understanding in videos. The topics of interest include, but are not limited to:
• Deep learning-based object detection and tracking in videos.
• Multi-object tracking in complex scenes.
• Object tracking in low-resolution and low-light conditions.
• Real-time object detection and tracking.
• Feature extraction and selection techniques for object detection and tracking.
• Object detection and tracking in 3D videos.
• Object detection and tracking for augmented reality applications.
• Transfer learning for object detection and tracking in videos.
• Applications of object detection and tracking in videos.
• Small object detection.
• Rotated object detection.
We anticipate that this special issue will attract submissions from leading researchers and experts in the field, and will provide a comprehensive overview of the latest advancements in object detection and tracking in videos.
Keywords
• object detection
• object tracking
• computer vision
• action recognition
• behavior understanding
• anomaly detection
• deep learning
Published Papers