An Efficient Real Time Method of Fingertip Detection

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.