Hui-Chi Zeng

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In this paper we present an adaptive foreground object extraction algorithm for real-time video surveillance. The proposed algorithm improves the previous Gaussian mixture background models (GMMs) by applying a two-stage foreground/background classification procedure to remove the undesirable subtraction results due to shadow, automatic white balance, and(More)
This paper presents an interactive video event retrieval system based on improved adaboost learning. This system consists of three main steps. Firstly, a long video sequence is partitioned into several video clips by using a distribution-based approach instead of detecting shot transition boundaries. Secondly, audiovisual features (i.e., color, motion and(More)
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