Real-Time object detection with adaptive background model and margined sign correlation

Authors:
Ayaka Yamamoto;Yoshio Iwai
Affiliations:
Graduate School of Engneering Science, Osaka University, Osaka, Japan;Graduate School of Engneering Science, Osaka University, Osaka, Japan
Venue:
ACCV'09 Proceedings of the 9th Asian conference on Computer Vision - Volume Part III
Year:
2009

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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.