Abstract
Explicit reasoning over a spatial substrate, i.e., space–time information structures underlying a spatial problem, simplifies reasoning. Diagrammatic reasoning makes use of diagrams for exploiting such underlying structures. This paper proposes a novel approach combining diagrammatic reasoning with qualitative spatial and temporal reasoning techniques to visualize and perceive spatio-temporal relations among objects in a video. The hybrid techniques explore information over the spatial substrate for relational extractions. Different relations among objects in transition define short-term activities. Mealy machines are learned over patterns of short-term activities as activity recognizers. The proposed representation and recognition mechanism is validated by conducting experiments for video activity recognition from DARPA Mind’s Eye and J-HMDB dataset.
Talk to us
Join us for a 30 min session where you can share your feedback and ask us any queries you have
More From: Journal of Visual Communication and Image Representation
Disclaimer: All third-party content on this website/platform is and will remain the property of their respective owners and is provided on "as is" basis without any warranties, express or implied. Use of third-party content does not indicate any affiliation, sponsorship with or endorsement by them. Any references to third-party content is to identify the corresponding services and shall be considered fair use under The CopyrightLaw.