FinSeg: Finger Parts Semantic Segmentation using Multi-scale Feature Maps Aggregation of FCN

Published: Jan 1, 2019
Abstract
Image semantic segmentation is in the center of interest for computer vision researchers. Indeed, huge number of applications requires efficient segmentation performance, such as activity recognition, navigation, and human body parsing, etc. One of the important applications is gesture recognition that is the ability to understanding human hand gestures by detecting and counting finger parts in a video stream or in still images. Thus, accurate...
Paper Details
Title
FinSeg: Finger Parts Semantic Segmentation using Multi-scale Feature Maps Aggregation of FCN
Published Date
Jan 1, 2019
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