Visual Explanation by High-Level Abduction: On Answer-Set Programming Driven Reasoning about Moving Objects

3 Dec 2017Jakob SuchanMehul BhattPrzemysław WałęgaCarl Schultz

We propose a hybrid architecture for systematically computing robust visual explanation(s) encompassing hypothesis formation, belief revision, and default reasoning with video data. The architecture consists of two tightly integrated synergistic components: (1) (functional) answer set programming based abductive reasoning with space-time tracklets as native entities; and (2) a visual processing pipeline for detection based object tracking and motion analysis... (read more)

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