A novel method for extraction of moving objects in an image sequence using multi-tiered Pulse-Coupled Neural Network (PCNN) is presented in this paper. PCNN is a biologically-inspired model which shows highly applicable in various image processing applications, including image segmentation, contour detection, etc. In order to adapt PCNN for moving object extraction, the multi-tiered PCNN model is proposed. This new PCNN model is called E-PCNN, since excitatory term and external linking are its two features. The architecture and algorithm of E-PCNN are presented in detail. It is shown that E-PCNN outweighs the commonly used inter-frame difference algorithm, having three main advantages: utilization of multiple color information, parameter robustness and robustness against noise.
|出版ステータス||Published - 2004 12月 1|
|イベント||SICE Annual Conference 2004 - Sapporo, Japan|
継続期間: 2004 8月 4 → 2004 8月 6
|Conference||SICE Annual Conference 2004|
|Period||04/8/4 → 04/8/6|
ASJC Scopus subject areas
- コンピュータ サイエンスの応用