Object Detection Tracking and Action Recognition in Dynamic and Unconstrained Environments
A special issue of Sensors (ISSN 1424-8220). This special issue belongs to the section "Vehicular Sensing".
Deadline for manuscript submissions: 30 November 2024 | Viewed by 437
Special Issue Editors
Interests: pattern recognition; computer vision; soft computing; deep learning; image classification; object detection and tracking; action recognition; drone images; thermal images
Special Issue Information
Dear Colleagues,
The ability to detect, track, and locate objects in videos and to recognize events and actions performed by objects in dynamic and unconstrained environments is a fundamental challenge in computer vision. With the increasing availability of cameras and sensors, vision-based systems are being used in a wide range of applications, including surveillance, autonomous vehicles, robotics, and augmented reality. However, these applications often require real-time and robust object detection and tracking or recognition of actions and events in complex environments with various lighting conditions, occlusions, and dynamic backgrounds.
This Special Issue of the journal focuses on recent advances in vision-based object detection and tracking such as action and event recognition in dynamic and unconstrained environments. It aims to bring together researchers and practitioners from academia and industry to present and discuss their latest research results, challenges, and future directions in this field.
We invite original research papers, reviews, and case studies that address, but are not limited to, the following topics:
- Object detection in dynamic and unconstrained environments;
- Object tracking in complex scenes with occlusions and dynamic backgrounds;
- Object localization in videos;
- Recognition of actions and events in complex and unconstrained environments;
- Deep learning-based approaches for object detection tracking and action recognition;
- Multi-camera and sensor fusion for robust object tracking;
- Real-time and low-latency object detection and tracking;
- Large-scale datasets and benchmarks for object detection and tracking;
- Applications of vision-based object detection and tracking, such as surveillance, autonomous vehicles, robotics, and augmented reality.
Dr. Marina Ivasic-Kos
Dr. Miran Pobar
Guest Editors
Manuscript Submission Information
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Keywords
- autonomous drones and application of autonomous drones
- development of AI algorithms for specific drone tasks
- computer vision for autonomous drones
- visible/infrared thermal/multispectral image analysis
- using drones for autonomous monitoring and inspection
- using drones for object detection, recognition, and tracking
- large-scale drone datasets for training and testing deep learning solutions
- connected drones
- fleet management of multiple drones, flight planning for the fleet of drones
- AR and drones
- 5G wireless transmission and drones
