Hand Detection and Tracking in Videos for Fine-Grained Action Recognition

H., Nga; Yanai, Keiji

doi:10.1007/978-3-319-16628-5_2

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Cited by 3 publications

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“…Hand detection [29] uses hand shape, context, skin colors and deformable part model [30] to detect the hand in static images. Another method [31] combines hand detection with hand tracking and uses an upper body model to refine the hand detection. Our hand tracking method takes advantage of analyzing the motion of the hand inspired from [27], and deals with occlusions occurred while tracking two hands.…”

Section: Related Workmentioning

confidence: 99%

Touch Event Recognition For Human Interaction

Chen¹,

Li²,

Abu‐Zhaya³

et al. 2016

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This paper investigates the interaction between two people, namely, a caregiver and an infant. A particular type of action in human interaction known as "touch" is described. We propose a method to detect "touch event" that uses color and motion features to track the hand positions of the caregiver. Our approach addresses the problem of hand occlusions during tracking. We propose an event recognition method to determine the time when the caregiver touches the infant and label it as a "touch event" by analyzing the merging contours of the caregiver's hands and the infant's contour. The proposed method shows promising results compared to human annotated data.

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Section: Related Workmentioning

confidence: 99%