SURVEY OFOPTIMIZATION TECHNIQUES IN GESTURE RECOGNITION

Sharda.A.Chhabria, R.V.Daraskar, V.M.Thakare

Abstract: In recent days significant interest is developed in gesture recognition domain because of need of different possible applications, that includes: search and rescue, hospital care, etc. This paper recognizes need of parameter optimization for gesture recognition. Various optimization techniques are discussed like Convex Optimization, Contextual Video-Text Fusion, Optimized Video Densely Sampling, Gaussian Mixture Markov Random Field, Visual Tracking by Weighted Likelihood Maximization, Mean Variance Mapping Optimization

Keywords: component; Gesture Recognition; optimization; Gaussian mixture Model

DOI: https://doi.org/10.15623/ijret.2016.0517010