A Novel GA-SVM Model For Vehicles And Pedestrial Classification In Videos IJTSRD


The paper presents a novel algorithm for object classification in videos based on improved support vector machine (SVM) and genetic algorithm. One of the problems of support vector machine is selection of the appropriate parameters for the kernel. This has affected the accuracy of the SVM over the years. This research aims at optimizing the SVM Radial Basis kernel parameters using the genetic algorithm. Moving object classification is a requirement in smart visual surveillance systems as it allows the system to know the kind of object in the scene and be able to recognize the actions the object can perform. This paper presents an GA-SVM machine learning approach for real time object classification in videos. Radial distance signal features are extracted from the silhouettes of object detected in videos. The radial distance signals features are then normalized and fed into the GA-SVM model. The classification rate of 99.39% is achieved with the genetically trained SVM algorithm while 99.1% classification accuracy is achieved with the normal SVM. A comparison of this classifier with some other classifiers in terms of classification accuracy shows a better performance than other classifiers such as the normal SVM, Artificial neural network (ANN), Genetic Artificial neural network (GANN), K-nearest neighbor (K-NN) and K-Means classifiers.

by Akintola Kolawole G.”A Novel GA-SVM Model For Vehicles And Pedestrial Classification In Videos”

Published in International Journal of Trend in Scientific Research and Development (ijtsrd), ISSN: 2456-6470, Volume-1 | Issue-4 , June 2017,

URL: http://www.ijtsrd.com/papers/ijtsrd109.pdf

http://www.ijtsrd.com/computer-science/artificial-intelligence/109/a-novel-ga-svm-model-for-vehicles-and-pedestrial-classification-in-videos/akintola-kolawole-g

call for paper Parallel Computing, international journal World Wide Web, science journal




A Novel GA-SVM Model For Vehicles And Pedestrial Classification In Videos IJTSRD IEEE PAPER





2020 technology trends
2019-TOP-TECHNOLOGIES
2019 papers
2018-TOP-TECHNOLOGIES
2018 papers

IEEE PROJECTS 2019


IEEE PROJECTS CSE 2019
IEEE PROJECTS ECE 2019
IEEE PROJECTS EEE 2019
IEEE PROJECTS VLSI
IEEE PROJECTS EMBEDDED SYSTEM

IEEE PROJECTS


IEEE PROJECTS ECE
IEEE PROJECTS CSE COMPUTER SCIENCE
IEEE PROJECTS ELECTRICAL ENGINEERING
IEEE PROJECTS EEE

IEEE PROJECTS