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Special Issue "Cooperative Camera Networks"
Deadline for manuscript submissions: 15 March 2020.
Interests: multimedia signal processing; image retrieval
Interests: multimedia signal processing; computer vision
Interests: video processing for event recognition; detection and localization of objects in complex scenes; distributed heterogeneous sensors ambient awareness systems; ambient intelligence and bio-inspired cognitive systems
Interests: computer vision; video analysis; machine learning
Special Issues and Collections in MDPI journals
Video acquisition devices are everywhere around us. They are used in private homes to provide monitoring and assistive services; placed in buildings and indoor public spaces for surveillance purposes; and spread in urban areas to monitor traffic and people, reveal possible danger or security issues, or trigger intelligent systems such as adaptive lighting or smart crossings. Besides fixed cameras, mobile cameras are also increasingly being used as a way of collecting user-centered information in applications such as life-logging, augmented reality or location-based services. A further increase in the diffusion of visual sensors is expected in the years to come, due to the availability of huge-bandwidth/low-latency networks such as 5G on the one hand, and to the spread of cost-effective advanced visual sensors (smart-, lightfield-, 360- cameras) on the other hand.
Although the current situation presents a largely unstructured scenario, in which the various devices operate without any coordination and are not meant to exchange data amongst themselves, a current trend in the research is devoted to the study of systems able to jointly exploit the large amount of inter-related information acquired by visual sensors in the framework of large cooperative visual sensor networks. However, the great potential of these technologies is still hindered by the many challenges to be solved, such as the availability of an efficient protocol for communication among sensors that is capable of guaranteeing the necessary coordination for acquisition and processing, calibrating and reconstructing multiple views, enabling distributed processing of the acquired visual information, and fusing information flows.Prof. Dr. Nicola Conci
Prof. Dr. Francesco De Natale
Dr. Lucio Marcenaro
Dr. Jungong Han
Dr. Caifeng Shan
Manuscript Submission Information
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Please visit the Instructions for Authors page before submitting a manuscript. The Article Processing Charge (APC) for publication in this open access journal is 1800 CHF (Swiss Francs). Submitted papers should be well formatted and use good English. Authors may use MDPI's English editing service prior to publication or during author revisions.
- Distributed smart cameras
- Cooperative camera networks
- Self-aware camera networks
- Massive data analysis and information fusion
- Mobile and ego-vision
- Autonomous vehicles and autonomous driving
- Deep learning for distributed and mobile vision
- Cloud and edge computing for video analysis
- Ambient-aware robotic systems
- Immersive reality
- Networking and 5G for video connectivity