Motion Target Detection of Birds Based on Adaptive Background Update Mechanism

Abstract:

In view of the natural environment variability and uncertainty makes observations of some birds behavior complex and difficult, this paper proposes a Surendra adaptive background updating algorithm based on global threshold, which can update background automatically according to the environmental changes, and then extract the birds target region of interested by background subtraction and morphological filtering. The experimental results show that the birds moving target detection of video-captured has a good extraction effect.

• Periodical: Applied Mechanics and Materials (Volumes 462-463)
• Pages: 333-337
• DOI: https://doi.org/10.4028/www.scientific.net/AMM.462-463.333
• Online since: November 2013
• Authors: Xue Wu Zhang, Ming Qiang Ling, Zhuo Yun Zhou, Zhuo Zhang, Min Li, Xin Nan Fan*
• Keywords: Background Subtraction, Global Threshold, Motion Target Detection, Surendra Algorithm

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