Model Recommendation with Virtual Probes for Egocentric Hand Detection

By Cheng Li, Kris M. Kitani. 2013

84 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

Fine-Grained Egocentric Hand-Object Segmentation: Dataset, Model, and Applications (2022, background): “Li and Kitani [31,32] first addressed the hand segmentation problem under various illuminations, and proposed to adaptively select a model that works the best under different illumination scenarios during inference time.”
Ego4D: Around the World in 3,000 Hours of Egocentric Video (2021, background): “Aside from daily life activity, prior ego datasets focus on conversation [170], inter-person interactions [66,168,194,231], place localization [183,208], multimodal sensor data [124,166,204], human hands [16, 134] human-object interaction [106, 184], and object tracking [56].”
Delving into Egocentric Actions (2015, neutral): “Accurate segmenting and tracking of hands in egocentric video remains an open problem [21].”
In the Eye of the Beholder: Gaze and Actions in First Person Video (2020, methodology): “gaze estimation [10], [12], [13], hand analysis [72], [73], [74], [75], [76], pose estimation [14], [15], physiological parameter estimation [77], [78], user identification [79], [80], [81] and video summarization [16], [17], [18].”
Seeing Invisible Poses: Estimating 3D Body Pose from Egocentric Video (2016, methodology): “First-person pose Limited research explores ways to infer the body pose of an egocentric camera wearer [4, 1, 13, 2, 11, 12].”
You2Me: Inferring Body Pose in Egocentric Video via First and Second Person Interactions (2019, background): “Egocentric video Recent egocentric vision work focuses primarily on recognizing objects [14], activities [44, 16, 39, 56, 46, 37, 52, 51, 68], visible hand and arm pose [7, 31, 32, 49, 48], eye gaze [33], or anticipating future camera trajectories [41, 9].”
Survey on 3D Hand Gesture Recognition (2016, background): “Li and Kitani [179], [180] addressed the task of pixel-level hand detection with challenges of illumination changes and camera motion.”
This Hand Is My Hand: A Probabilistic Approach to Hand Disambiguation in Egocentric Video (2014, background): “Other work on egocentric hand detection is motivated by the idea that hands are important for understanding complex object manipulations, gestures, and motor skills [16, 17, 24, 32].”
Generalizing Hand Segmentation in Egocentric Videos With Uncertainty-Guided Model Adaptation (2020, methodology): “Detecting or segmenting hands in egocentric videos with changing illumination and backgrounds is challenging for traditional color statistics-based methods such as [26], and many attempts have been made in recent year to overcome the challenge [39, 16, 30, 31, 47, 2, 4, 43, 32].”
Lending A Hand: Detecting Hands and Recognizing Activities in Complex Egocentric Interactions (2015, background): “[20,21] is based on detecting skin pixels, not hands per se, so it would also find faces or any other bare skin regions.”
Ego2Hands: A Dataset for Egocentric Two-hand Segmentation and Detection (2020, background): “Being aware of the possible illumination difference in scenes, [19, 18] trained multiple hand detectors on a mixture of local and global appearance features from various scenes and adaptively selected detectors based on the test images.”