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Recent Research Topics

  • Machine Learning
  • Person Re-Identification
  • Pattern Recognition
  • Active Vision
  • Resource Aware Networks

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Pattern Recognition

Pattern recognition in video sequences is a fundamental task to understand what is happening. Machine learning techniques are investigated to provide solutions to different video surveillance problems from middle level techniques (e.g. object recognition/classification) to high level techinque for the behaviour analysis (e.g trajectory analysis, anomaly detection, etc.)

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Active Vision

Active Vision IconActive Vision is the estabilished area of computer vision. Such an area aims to the interpretation of the scene by analysing images acquire by camera mounted on moving platfrom. Thus, active vision is related to the interaction between the oberver and the sensor to actively decide what,when and how to see. Hence, this field of research not only copes with the processing of the images but also with the control of the motion of the sensors and their configuration.

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Resource Aware Networks

In context of sensor networks three main resources present strong limitations: a) Communication, b) Computational Power and c) Power Consumption. All these limitations become more evident with the increase of the number of sensors deployed by the network. These limitations require a sort of awareness of the system that can take measures to adapt its performance or operability in order to adhere to the constraints. In this field Dr. Micheloni is studyning techinques to adapt the network topology by switching on/off cameras and/or modifying their field of view.

[/vc_column_text][/vc_column_inner][vc_column_inner width=”1/3″][vc_title title=”Interests” title_tag=”title_h3″][vc_interest][vc_interest_single interest_title=”Machine Learning”][/vc_interest_single][vc_interest_single interest_title=”Pattern Recognition”][/vc_interest_single][vc_interest_single interest_title=”Computer Vision”][/vc_interest_single][vc_interest_single interest_title=”Deep Learning”][/vc_interest_single][vc_interest_single interest_title=”Security”][/vc_interest_single][vc_interest_single interest_title=”Networked Sensors”][/vc_interest_single][vc_interest_single interest_title=”Robotics”][/vc_interest_single][vc_interest_single interest_title=”Automotive”][/vc_interest_single][/vc_interest][/vc_column_inner][/vc_row_inner][/vc_column][/vc_row][vc_row bg_color=”#fcfcfc”][vc_column][vc_title title=”Laboratory Personel” title_tag=”title_h2″][vc_row_inner][vc_column_inner width=”2/3″][vc_lab][vc_lab_single lab_image=”353″ lab_name=”Niki Martinel” lab_pos=”Postdoctoral fellow” lab_link=”http://users.dimi.uniud.it/~niki.martinel/” lab_follow=”Personal Web Page – External link”][vc_lab_single lab_name=”Dr. Claudio Piciarelli” lab_pos=”Assistant Professor”][vc_lab_single lab_name=”Prof. Gian Luca Foresti” lab_pos=”Full Professor” lab_link=”http://themeforest.net/item/faculty-responsive-academic-wordpress-theme/6817161″ lab_follow=”External link”][vc_lab_single lab_image=”130″ lab_name=”Dr. Giuseppe Serra” lab_pos=”Assistant Professor” lab_link=”http://owwwlab.com/wp-faculty/another-page/” lab_follow=”Internal Link”][vc_lab_single lab_name=”Matteo Chini” lab_pos=”Fellow” lab_link=”http://facebook.com” lab_follow=”Facebook”][/vc_lab][/vc_column_inner][vc_column_inner width=”1/3″][vc_column_text]

Great lab Personel!

I’m so lucky to work with awesome colleagues. With them I can discuss about many research topics, but social time is not missing. To tell the whole truth many innovative ideas came out while sharing a lunch or a drink to close the “working week”.[/vc_column_text][/vc_column_inner][/vc_row_inner][/vc_column][/vc_row]