An <inline-formula> <tex-math notation="LaTeX">$\ell_{1/2}$ </tex-math></inline-formula>-Norm Regularizer-Based Sparse Coding Framework for Gaze Prediction in First-Person Videos
Predicting human gaze is important for efficiently processing and understanding numerous incoming visual information from first-person videos (FPVs). Even though people continuously gaze in noisy environments, most existing gaze prediction algorithms are based on saliency mapping, which is sensitive...
| Main Authors: | , , |
|---|---|
| Format: | Article |
| Language: | English |
| Published: |
IEEE
2019-01-01
|
| Series: | IEEE Access |
| Subjects: | |
| Online Access: | https://ieeexplore.ieee.org/document/8675912/ |