An analog CNN algorithm is proposed for detection of moving objects in high-resolution gray-scale images, with multiple moving objects and with moderate a priori information on the scene. The algorithm is based on simple 3×3 templates followed by a clustering operation on the moving pixels. The effectiveness of the proposed algorithm is shown using some real-life indoor and outdoor images.
Costantini, G., Casali, D., Carota, M. (2005). Detection of moving objects in 2-D images based on a CNN algorithm and density based spatial clustering. WSEAS TRANSACTIONS ON CIRCUITS AND SYSTEMS, 4(5), 440-447.
Detection of moving objects in 2-D images based on a CNN algorithm and density based spatial clustering
COSTANTINI, GIOVANNI;
2005-01-01
Abstract
An analog CNN algorithm is proposed for detection of moving objects in high-resolution gray-scale images, with multiple moving objects and with moderate a priori information on the scene. The algorithm is based on simple 3×3 templates followed by a clustering operation on the moving pixels. The effectiveness of the proposed algorithm is shown using some real-life indoor and outdoor images.File in questo prodotto:
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