Emergent Object Computer Vision Project
Updated 2 years ago
Metrics
Here are a few use cases for this project:
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Retail Store Analytics: The "Emergent Object" model can be used in observing consumer behavior in retail environments by distinguishing between a human shopper and manikins. This could help glean insights into shopping patterns, time spent near certain displays, or it can be used to enhance security measures.
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Virtual Reality: This model could be particularly useful in VR simulations. By being able to distinguish between human players and simulated characters (manikins), it can create a more immersive and interactive experience.
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Film and Television Production: The model could be used in the production phase to differentiate between actors and manikins or props, helping in tracking shots, scene comprehension, and subsequent CGI implementation.
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Advanced Driver Assistance Systems: The model can be used in vehicular technologies to identify pedestrians crossing the street. This can enhance the accuracy of driver assistance systems and contribute to safer driving.
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Manikin-Based Training: In medical or emergency training scenarios where manikins are used to mimic real-life situations, the model can differentiate between learners/participants and manikins, helping in the evaluation of the training session.
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Cite This Project
If you use this dataset in a research paper, please cite it using the following BibTeX:
@misc{
emergent-object_dataset,
title = { Emergent Object Dataset },
type = { Open Source Dataset },
author = { HKU UAS },
howpublished = { \url{ https://universe.roboflow.com/hku-uas/emergent-object } },
url = { https://universe.roboflow.com/hku-uas/emergent-object },
journal = { Roboflow Universe },
publisher = { Roboflow },
year = { 2023 },
month = { apr },
note = { visited on 2024-11-21 },
}