A case study of object recognition from drone videos

Stacy Fortes, Robert Kulesza, J. Jenny Li

Research output: Chapter in Book/Report/Conference proceedingConference contributionpeer-review

2 Scopus citations

Abstract

To study a potential autonomous drone's object recognition and reaction, we created a convolutional neural network (CNN) and used it to detect and count the empty parking spots in a parking lot taken from drone video footage. We first trained the network through supervised learning with snapshots of individual parking spots, from a previous drone footage, to correctly classify the spots as empty or occupied. Then we store the model to be used for detection and labeling of objects in new drone videos such as empty vs. occupied spots, as well as cars moving in and out of spots. We invented a video object referencing (VOR) to estimate object dimensions. After many rounds of tuning, we eventually achieve close to a hundred percent of accuracy. We concluded that adjusting batch size and epoch number could improve object recognition. We hope this research will contribute to tuning CNN for object recognition from drone videos to help with eventual autonomous drones.

Original languageEnglish
Title of host publicationProceedings - 2021 4th International Conference on Information and Computer Technologies, ICICT 2021
PublisherInstitute of Electrical and Electronics Engineers Inc.
Pages84-87
Number of pages4
ISBN (Electronic)9781665413992
DOIs
StatePublished - Mar 2021
Event4th International Conference on Information and Computer Technologies, ICICT 2021 - Kahului, Maui Island, United States
Duration: 11 Mar 202114 Mar 2021

Publication series

NameProceedings - 2021 4th International Conference on Information and Computer Technologies, ICICT 2021

Conference

Conference4th International Conference on Information and Computer Technologies, ICICT 2021
Country/TerritoryUnited States
CityKahului, Maui Island
Period11/03/2114/03/21

Keywords

  • Accuracy
  • Convolutional Neural Networks (CNN)
  • Object Recognition
  • TensorFlow

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