Human Activity Recognition Using Gaussian Mixtures
Journal Title: International Journal for Research in Applied Science and Engineering Technology (IJRASET) - Year 2017, Vol 5, Issue 6
Abstract
Objective of recognizing human activity in the growing ubiquity and mobility of video data has emerged as one of the key research topic in computer vision and machine learning. This paper considers the inclusivity of latent variables by extracting missing information with discriminative features in reduced feature space. Multi-modal distribution analysis is performed using Gaussian mixture model in maximum likelihood basis to obtain Gaussian mixtures, PCA is applied to these mixtures to preserve suitable discriminatory features in compressed space. Different distance measure techniques are used to classify and recognize human activity. Proposed subspace mixture model achieved most promising results on KTH dataset in comparison with few state-of-the-art techniques.
Authors and Affiliations
Mahantesh K, Namita H, Harshitha R, Madhurya S, Nischitha K S
Keywords
Related Articles
- EP ID EP24708
- DOI -
- Views 468
- Downloads 13
Effective review selection using micro reviews and feature level extraction
The online review about the product helps the user to decide the quality of product or service. The task of identifying appropriate review and distill useful information to take decision is very difficult. The complicat...
An Implementation of Fault Node Replacement algorithm for Wireless Sensor Network
In Wireless Sensor Network every Sensor node having a tendency to shut down ,due to computation power, Hardware Fail, Software Fail, environmental Condition and energy depletion. Fault Tolerance is a major problem in a...
slugEdge Detection using Memetic Algorithm
Edge detection is one of the open issues in image processing. GA, inspired by biological evolution has been typically used for addressing this problem. MA, inspired by biological and / or social evolution, having been t...
Water Consumption Awareness of People in City of Isparta in Turkey
This study was conducted in the Isparta region; it aims to determine water use of people on the basis of families and individuals, quantities of water consumption, their attitudes and behaviours towards water saving met...
Data Mining In E-Money and Its Security
No doubt, our modern society is gradually catching the cashless syndrome. E-payments, ATM cards and others are now the order of the day at our work-places. This paper takes a keen look into the feasibility of introducin...