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Egocentric Vision for Dog Behavioral Analysis
Lecture Notes in Electrical Engineering, 2021Egocentric vision, an offshoot of computer vision, offers unique insight into the visual world by examining images and videos taken by a digital camera. This research, with the aid of ecocentered view, describes the actions of the different dog breed in different situations.
Vithya Ganesan, J Naren
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Leveraging Hand-Object Interactions in Assistive Egocentric Vision
IEEE Transactions on Pattern Analysis and Machine Intelligence, 2023Egocentric vision holds great promise for increasing access to visual information and improving the quality of life for blind people. While we strive to improve recognition performance, it remains difficult to identify which object is of interest to the user; the object may not even be included in the frame due to challenges in camera aiming without ...
Kyungjun Lee +2 more
exaly +3 more sources
Egocentric Vision in Assistive Technologies For and By the Blind
2022Visual information in our surroundings, such as everyday objects and passersby, is often inaccessible to people who are blind. Cameras that leverage egocentric vision, in an attempt to approximate the visual field of the camera wearer, hold great promise for making the visual world more accessible for this population.
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Egocentric Spaw Representation in Early Vision
Journal of Cognitive Neuroscience, 1993Abstract Recent physiological experiments have shown that the responses of many neurons in V1 and V3a are modulated by the direction of gaze. We have developed a neural network model of the hierarchy of maps in visual cortex to explore the hypothesis that visual features are encoded in egocentric (spatio-topic) coordinates at early ...
A, Pouget, S A, Fisher, T J, Sejnowski
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EgoNight: Towards Egocentric Vision Understanding at Night with a Challenging Benchmark
International Conference on Learning RepresentationsMost existing benchmarks for understanding egocentric vision focus primarily on daytime scenarios, overlooking the low-light conditions that are inevitable in real-world applications.
De-Heng Zhang +11 more
semanticscholar +1 more source
Localizing Active Objects from Egocentric Vision with Symbolic World Knowledge
Conference on Empirical Methods in Natural Language Processing, 2023The ability to actively ground task instructions from an egocentric view is crucial for AI agents to accomplish tasks or assist humans virtually. One important step towards this goal is to localize and track key active objects that undergo major state ...
Te-Lin Wu, Yu Zhou, Nan-Yun Peng
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EgoVLA: Learning Vision-Language-Action Models from Egocentric Human Videos
arXiv.orgReal robot data collection for imitation learning has led to significant advancements in robotic manipulation. However, the requirement for robot hardware in the process fundamentally constrains the scale of the data.
Ruihan Yang +14 more
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An Egocentric Vision-Language Model based Portable Real-time Smart Assistant
arXiv.orgWe present Vinci, a vision-language system designed to provide real-time, comprehensive AI assistance on portable devices. At its core, Vinci leverages EgoVideo-VL, a novel model that integrates an egocentric vision foundation model with a large language
Yifei Huang +18 more
semanticscholar +1 more source
An egocentric vision based assistive co-robot
2013 IEEE 13th International Conference on Rehabilitation Robotics (ICORR), 2013We present the prototype of an egocentric vision based assistive co-robot system. In this co-robot system, the user is wearing a pair of glasses with a forward looking camera, and is actively engaged in the control loop of the robot in navigational tasks. The egocentric vision glasses serve for two purposes. First, it serves as a source of visual input
Jingzhe Zhang +5 more
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Neural Information Processing Systems
Understanding affect is central to anticipating human behavior, yet current egocentric vision benchmarks largely ignore the person's emotional states that shape their decisions and actions.
Matthias Jammot +4 more
semanticscholar +1 more source
Understanding affect is central to anticipating human behavior, yet current egocentric vision benchmarks largely ignore the person's emotional states that shape their decisions and actions.
Matthias Jammot +4 more
semanticscholar +1 more source