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Real-Time Object Detection with Adaptive Background Model and Margined Sign Correlation

  • Ayaka Yamamoto
  • Yoshio Iwai
Part of the Lecture Notes in Computer Science book series (LNCS, volume 5996)

Abstract

In recent years, the detection accuracy has significantly improved under various conditions using sophisticated methods. However, these methods require a great deal of computational cost, and have difficulty in real-time applications. In this paper, we propose a real-time system for object detection in outdoor environments using a graphics processing unit (GPU). We implement two algorithms on a GPU: adaptive background model, and margined sign correlation. These algorithms can robustly detect moving objects and remove shadow regions. Experimental results demonstrate the real-time performance of the proposed system.

Keywords

Object detection Real-time system GPU Adaptive background model Margined sign correlation 

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Copyright information

© Springer-Verlag Berlin Heidelberg 2010

Authors and Affiliations

  • Ayaka Yamamoto
    • 1
  • Yoshio Iwai
    • 1
  1. 1.Graduate School of Engneering ScienceOsaka UniversityOsakaJapan

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