Real-time Moving Object Detection using SURF

Journal Title: IOSR Journals (IOSR Journal of Computer Engineering) - Year 2015, Vol 17, Issue 3

Abstract

Abstract: Tracking and traffic monitoring are main application of moving Object detection in video. This paperpresents SURF (Speed-Up Robust Features) algorithm and real-time detection of objects using frame difference.The main purpose of this proposed work is to solve the difficulty of modeling background and its update rate inbackground subtraction method. SURF is having fast processing technique to find features of an object image inreal-time and then by using this algorithm we will compare object image features with our real-time objectimage features. After that match object image features and real-time features.

Authors and Affiliations

Helly M. Desai , Vaibhav Gandhi

Keywords

Related Articles

A New Multi-Agent Game Solver

Abstract: A new N-person game solver is presented in this work. The new software is an advance in the whole sate of art for the investigation of N-person games. It is now possible to investigate entire classes of games a...

 A review of the existing state of Personality prediction of Twitterusers with Machine Learning Algorithms

Abstract: Twitter is a popular social media platform with millions of users. The tweets shared by these usershave recently attracted the attention of researchers from diverse fields. In this paper, we focus primarily onp...

A Survey Report on: Become Prudent with Big Data - Technological sophistication in India

In the world of globalization at 360 degree, a heavy digitalized rainy season has raised & the rain drops of digital data is falling from the digitalized sky through lots of clouds of E-Commerce, Mobile-Commerce , So...

 Security Issues in Next Generation IP and Migration Networks

 Abstract: As networks are mushrooming, the growth and development of IPv6 is gaining more importance. Thewide scale deployment of this protocol into operational networks raises certain issues with security being on...

Traffic Modeling of Wireless Body Area Network

Abstract: Wireless Body Area Network (WBAN) is required to provide quality of service (QoS) guarantees for transporting and processing life threatening gathered data. One important aspect of providing QoS guarantees unde...

Download PDF file
  • EP ID EP100633
  • DOI -
  • Views 101
  • Downloads 0

How To Cite

Helly M. Desai, Vaibhav Gandhi (2015).  Real-time Moving Object Detection using SURF. IOSR Journals (IOSR Journal of Computer Engineering), 17(3), 75-78. https://europub.co.uk/articles/-A-100633