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Proceedings Paper

Cognitive computer-on-watch: Applying artificial intelligence/machine learning to augment human capability (Conference Presentation)
Author(s): Sanjeev Mohindra; Arjun Majumdar; Benjamin Smith
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Paper Abstract

Recent advances in Machine Learning have been built on massive amounts of labelled data. However, data labeling is an expensive exercise. Oftentimes, for rare objects of interest, there is not enough data. We present novel techniques to reduce the amount of data that needs to be labelled, as well to prioritize the data labeling task. We show results of applying our techniques to computer vision. Another critical need is to be able to adapt these computer vision techniques for on-board processing. We present results for on-board distributed detection and tracking using a team of UAVs that collaborate for tracking objects of interest on the ground.

Paper Details

Date Published: 14 May 2018
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Proc. SPIE 10635, Ground/Air Multisensor Interoperability, Integration, and Networking for Persistent ISR IX, 106350A (14 May 2018); doi: 10.1117/12.2306033
Show Author Affiliations
Sanjeev Mohindra, MIT Lincoln Lab. (United States)
Arjun Majumdar, MIT Lincoln Lab. (United States)
Benjamin Smith, MIT Lincoln Lab. (United States)


Published in SPIE Proceedings Vol. 10635:
Ground/Air Multisensor Interoperability, Integration, and Networking for Persistent ISR IX
Michael A. Kolodny; Dietrich M. Wiegmann; Tien Pham, Editor(s)

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