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个人简介
As leaders in innovation and algorithm development, Dr. Asari’s research team in UD Vision Lab specializes in sensor data exploitation for object detection, recognition and tracking in wide area surveillance imagery captured by visible, infrared, thermal, hyperspectral, and LiDAR (Light Detection and Ranging) sensors. Dr. Asari's research activities also include 3D scene creation from 2D video streams, 3D scene change detection, automatic visibility improvement of images captured in various weather conditions, human identification by face recognition, human action and activity recognition, and brain signal analysis for emotion recognition and brain machine interface. Various classical as well as machine learning methodologies including the advanced deep learning techniques are being used for the extraction of information from multi-sensor data and for appropriate decision making in real time.
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论文共 282 篇作者统计合作学者相似作者
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crossref(2024)
Procedia Computer Science (2023): 2853-2853
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Lecture notes in civil engineeringpp.187-195, (2023)
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Proceedings of the ... ISARC (2023)
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Advancement of Deep Learning and its Applications in Object Detection and Recognitionpp.87-106, (2023)
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Theus H. Aspiras,Vijayan K. Asari,Nina Singer,Jonathan Schierl, Andy Stokes, Brett Keaffaber,Andre Van Rynbach,Kevin Decker, David Rabb
Pattern Recognition and Tracking XXXIII (2022)
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