Results 41 to 50 of about 1,409,257 (215)

Egocentric Bias in Vision-Language Models [PDF]

CoRR
Visual perspective taking--inferring how the world appears from another's viewpoint--is foundational to social cognition. We introduce FlipSet, a diagnostic benchmark for Level-2 visual perspective taking (L2 VPT) in vision-language models. The task requires simulating 180-degree rotations of 2D character strings from another agent's perspective ...
Wang, Maijunxian, Li, Yijiang, Wang, Bingyang, Zhao, Tianwei, Ji, Ran, Gao, Qingying, Liu, Emmy, Deng, Hokin, Luo, Dezhi   +8 more
openaire   +2 more sources

Estimating Head Motion from Egocentric Vision [PDF]

Proceedings of the 20th ACM International Conference on Multimodal Interaction, 2018
The recent availability of lightweight, wearable cameras allows for collecting video data from a "first-person' perspective, capturing the visual world of the wearer in everyday interactive contexts. In this paper, we investigate how to exploit egocentric vision to infer multimodal behaviors from people wearing head-mounted cameras.
Satoshi Tsutsui, Sven Bambach, David J. Crandall, Chen Yu 0001   +3 more
openaire   +2 more sources

Fusion of Appearance and Motion Features for Daily Activity Recognition from Egocentric Perspective

Sensors, 2023
Vidos from a first-person or egocentric perspective offer a promising tool for recognizing various activities related to daily living. In the egocentric perspective, the video is obtained from a wearable camera, and this enables the capture of the person’
Mohd Haris Lye, Nouar AlDahoul, Hezerul Abdul Karim   +2 more
doaj   +1 more source

Test Time Adaptation for Egocentric Vision. [PDF]

, 2023
In the last few years, the technological advancement of wearable cameras has led to an increasing interest in egocentric (first-person) vision, thanks to its ability to capture activities from the user’s perspective with applications in a variety of different tasks, from human-object interaction to action prediction and anticipation.
Simone Alberto Peirone, Mirco Planamente, Barbara Caputo, Giuseppe Averta   +3 more
openaire   +1 more source

EgoPPG: Heart Rate Estimation From Eye-Tracking Cameras in Egocentric Systems to Benefit Downstream Vision Tasks [PDF]

IEEE International Conference on Computer Vision
Egocentric vision systems aim to understand the spatial surroundings and the wearer's behavior inside it, including motions, activities, and interactions.
Björn Braun, Rayan Armani, Manuel Meier, Max Moebus, Christian Holz   +4 more
semanticscholar   +1 more source

Is Tracking Really More Challenging in First Person Egocentric Vision? [PDF]

IEEE International Conference on Computer Vision
Visual object tracking and segmentation are becoming fundamental tasks for understanding human activities in egocentric vision. Recent research has benchmarked state-of-the-art methods and concluded that first person egocentric vision presents challenges
Matteo Dunnhofer, Zaira Manigrasso, C. Micheloni   +2 more
semanticscholar   +1 more source

A Multi-Modal Egocentric Activity Recognition Approach towards Video Domain Generalization

Sensors
Egocentric activity recognition is a prominent computer vision task that is based on the use of wearable cameras. Since egocentric videos are captured through the perspective of the person wearing the camera, her/his body motions severely complicate the ...
Antonios Papadakis, Evaggelos Spyrou
doaj   +1 more source

Stereo Feature Learning Based on Attention and Geometry for Absolute Hand Pose Estimation in Egocentric Stereo Views

IEEE Access, 2021
Egocentric hand pose estimation is significant for wearable cameras since the hand interactions are captured from an egocentric viewpoint. Several studies on hand pose estimation have recently been presented based on RGBD or RGB sensors.
Kyeongeun Seo, Hyeonjoong Cho, Daewoong Choi, Taewook Heo   +3 more
doaj   +1 more source

Recognizing hand use and hand role at home after stroke from egocentric video.

PLOS Digital Health, 2023
Hand function is a central determinant of independence after stroke. Measuring hand use in the home environment is necessary to evaluate the impact of new interventions, and calls for novel wearable technologies.
Meng-Fen Tsai, Rosalie H Wang, José Zariffa   +2 more
doaj   +1 more source

Improving IMU-Based Prediction of Lower Limb Kinematics in Natural Environments Using Egocentric Optical Flow

IEEE Transactions on Neural Systems and Rehabilitation Engineering, 2022
We seek to predict knee and ankle motion using wearable sensors. These predictions could serve as target trajectories for a lower limb prosthesis. In this manuscript, we investigate the use of egocentric vision for improving performance over kinematic ...
Abhishek Sharma, Eric Rombokas
doaj   +1 more source