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Region-oriented Visual Attention-based Activity Detection Host Publication: Finds and Results from the Swedish Cyprus Expedition: A Gender Perspective at the Medelhavsmuseet Authors: T. Geerinck and H. Sahli Publication Year: 2008
Abstract: This paper proposes a spatio-temporal attentive mechanism to detect events from video sequences of natural scenes of dynamic environments. More specifically, we wish to to detect a visual event within a cluttered scene. In contrast to the event detection methods used in the literature, which drive attention based on motion and spatial location hypothesis, in our approach the visual attention is region-driven as well as feature-driven. For this purpose a two stages attention mechanism is proposed. In a first phase spatio-temporal activity analysis extracts salient areas from the image sequence. Consequently, these areas are further processed to determine the most interesting active region, based on a newly defined region saliency measure. The results of the proposed approach are reported using natural image sequence of a crowded train station.
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