First-Person Vision

By Takeo Kanade, Martial Hebert. 2012

125 citations recorded by the source corpus.

Subfields: Computer Vision and Pattern Recognition, Human-Computer Interaction, Robotics & Control

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Citations in the corpus

Delving into Egocentric Actions (2015, neutral): “Comparison between existing FPV datasets.”
Rolling-Unrolling LSTMs for Action Anticipation from First-Person Video (2020, background): “Examples of such applications include autonomous vehicles [1], human-robotic symbiotic systems [2], and wearable assistants [3], [4].”
Next-active-object prediction from egocentric videos (2017, background): “This makes them ideal for building egocentric systems able to assist the user and augment his abilities [1, 2, 3].”
In the Eye of the Beholder: Gaze and Actions in First Person Video (2020, background): “We have witnessed a surge of interest in the automatic analysis of visual data captured from wearable cameras, also known as First Person Vision (FPV) [1] or Egocentric Vision.”
Computer Vision and Image Understanding Computer Vision for Assistive Technologies (unknown): “A research area which is extremely useful to support mental functions is the one referred with the name " First Person Vision " ( Devyver et al., 2011a; Kanade and Hebert, 2012 ).”
What Would You Expect? Anticipating Egocentric Actions With Rolling-Unrolling LSTMs and Modality Attention (2019, background): “First Person (Egocentric) Vision [29], in particular, offers an interesting scenario to study anticipation problems.”
Trespassing the Boundaries: Labeling Temporal Bounds for Object Interactions in Egocentric Video (2017, background): “Egocentric videos, also referred to as ﬁrst-person videos, have been frequently advocated to provide a unique perspective into object interactions [12, 5, 19].”
Egocentric Hand Track and Object-Based Human Action Recognition (2019, background): “This provides a unique view that is person-centric and optimally set to capture information that is arguably more relevant to the camera wearer [8].”
Human Action Recognition With Video Data: Research and Evaluation Challenges (2014, methodology): “using wearable sensors [3], evaluation of robotic therapy as”
Joint Hand Motion and Interaction Hotspots Prediction from Egocentric Videos (2022, background): “Given that the first-person vision could better capture people’s intention and interactions, as well as its applicability to AR and robotics [39,43,68], estimating human motions in egocentric videos [49,64,88] worth more attention.”
First Person Action-Object Detection with EgoNet (2016, methodology): “ [9]. 2 Related Work First Person Vision. A ﬁrst person camera captures what the person sees during her interaction with an object, which has a direct access to her visual attention and motor actions [10]. This ﬁrst person property has been exploited in various tasks such as summarizing daily activi”
Language Grounding with 3D Objects (2021, background): “There is a domain shift between such canonical depictions of objects in images and objects as seen through a robot camera [10, 11], as studied in computer vision between such images and those captured by the blind [12].”
Generalizing Hand Segmentation in Egocentric Videos With Uncertainty-Guided Model Adaptation (2020, background): “The popularity of wearable cameras in recent years is accompanied by a large amount of ﬁrst-person view (ego-centric) videos recording persons’ daily interactions with their surrounding environments [27, 5, 46].”
Learning to Predict Gaze in Egocentric Video (2013, background): “A key component in egocentric vision is the egocentric gaze [13].”
Jointly Learning Energy Expenditures and Activities Using Egocentric Multimodal Signals (2017, background): “Activity recognition in visual data is a widely studied problem in computer vision [22, 63, 35, 2], and a number of works have investigated this task in the domain of egocentric video [48, 8, 5, 30] and in combination with other wearable sensors [59, 44].”