Affordable Access

Adaptive background modeling for land and water composition scenes

Authors
  • Zhao, Jing
  • Pang, Shaoning
  • Hartill, Bruce
  • Sarrafzadeh, Hossein
Publication Date
Sep 01, 2015
Source
Unitec Research Bank
Keywords
Language
English
License
Unknown
External links

Abstract

In the context of maritime boat ramps surveillance, this paper proposes an Adaptive Background Modeling method for Land and Water composition scenes (ABM-lw) to interpret the traffic of boats passing across boat ramps. We compute an adaptive learning rate to account for changes on land and water composition scenes, in which the portion of water changes over time due to tidal dynamics and other environmental influences. Experimental comparative tests and quantitative performance evaluations of real-world boat-flow monitoring traffic sequences demonstrate the benefits of the proposed algorithm.

Report this publication

Statistics

Seen <100 times