ESR5: UNIUD
Distributed tracking by means of video pipeline reconfiguration
@ AViReS laboratory (Universitá degli Studi di Udine), Italy
Study and development of a set of algorithms for the realization of a distributed self-reconfigurable camera network for monitoring applications (e.g. surveillance, healthcare, elder monitoring, etc.). Such a main objective can be split into three intermediate goals: the video analytics pipeline can be made highly distributed and reconfigurable; the implementation of proper distributed algorithms; and the reconfiguration of the distributed task allocation. Game theory or market/bargain-bidding mechanism will be explored to cluster the network in subsets of cooperative cameras, and task each cluster with a proper video analytics objective. This research task aims to develop algorithms learn the network topology while providing situational awareness.
Asad Munir
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BIOGRAPHY Asad Munir was born on 06/05/1993 in Pakistan. He completed his bachelor degree in Engineering Sciences from Ghulam Ishaq Khan Institute of Engineering Sciences and Technology (Pakistan). He obtained his Master’s degree in computer science from Chung-Ang University (South Korea). Now he joined University of Udine as early stage researcher to pursue his PhD degree in industrial and information engineering.
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asad.munir@uniud.it
MY PROJECT
"Multicamera embedded tracking and re-identification"
TASK
- Transfer of computer Vision Algorithms on embedded platforms
- Implementation of distributed algorithms for active surveillance
- Improve the network awareness by means of resource aware reconfiguration algorithms
EXPECTED RESULTS
Development of a set of algorithms for the realization of a distributed self-reconfigurable camera network for monitoring applications (e.g. surveillance, healthcare, elder monitoring, etc.).