An Efficient Real Time Method of Fingertip Detection
Jagdish Lal Raheja, Karen Das, Ankit Chaudhary

TL;DR
This paper introduces a fast, real-time fingertip detection method that uses skin filtering and hand cropping to improve efficiency in human-computer interaction applications.
Contribution
It proposes a novel, time-efficient fingertip detection approach that reduces processing by cropping irrelevant image parts before detection.
Findings
Achieves real-time fingertip detection performance
Reduces computational complexity compared to existing methods
Effective in human-computer interaction scenarios
Abstract
Fingertips detection has been used in many applications, and it is very popular and commonly used in the area of Human Computer Interaction these days. This paper presents a novel time efficient method that will lead to fingertip detection after cropping the irrelevant parts of input image. Binary silhouette of the input image is generated using HSV color space based skin filter and hand cropping done based on histogram of the hand image. The cropped image will be used to figure out the fingertips.
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Taxonomy
TopicsHand Gesture Recognition Systems · Gaze Tracking and Assistive Technology · Robot Manipulation and Learning
