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Hand-Priming in Object Localization for Assistive Egocentric Vision.

Kyungjun Lee¹, Abhinav Shrivastava¹, Hernisa Kacorri¹

¹University of Maryland, College Park.

IEEE Winter Conference on Applications of Computer Vision. IEEE Winter Conference on Applications of Computer Vision

|August 18, 2020

Summary

This study introduces a novel hand-priming method for egocentric vision to improve object recognition for visually impaired individuals. Leveraging hand presence enhances object localization accuracy, outperforming existing techniques.

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Area of Science:

Computer Vision
Assistive Technologies

Background:

Egocentric vision offers potential for visually impaired individuals, but object recognition remains challenging.
Current methods struggle to identify user interest and accurately aim cameras without visual feedback.
Gaze tracking, often used for inferring interest, is frequently unreliable.

Purpose of the Study:

To develop and evaluate a novel approach for improving object localization in egocentric vision for the visually impaired.
To leverage the user's hand presence as contextual information to prime object localization.
To enhance the accuracy of identifying objects of interest in egocentric visual streams.

Main Methods:

Proposed localization models that utilize hand segmentation as contextual information.
Integrated hand segmentation into the entire localization network or its final convolutional layers.
Trained and tested models on egocentric datasets from both sighted and blind individuals.

Main Results:

The proposed hand-priming method significantly improved object localization precision.
Hand-priming outperformed traditional methods like fine-tuning, multi-class, and multi-task learning.
Demonstrated the effectiveness of using hand presence for guiding object recognition in egocentric vision.

Conclusions:

Leveraging hand presence is a highly effective strategy for improving object localization in egocentric vision systems.
This approach offers a promising solution for enhancing assistive technologies for individuals with visual impairments.
The hand-priming method provides a more robust and precise alternative to gaze-based or general object detection techniques.