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Scenes categorization based on appears objects probability | IEEE Conference Publication | IEEE Xplore

Scenes categorization based on appears objects probability


Abstract:

Automation of visual perception on the machine is the automation of the interpretation of the data generated by the camera sensor like humans. Some automated systems such...Show More

Abstract:

Automation of visual perception on the machine is the automation of the interpretation of the data generated by the camera sensor like humans. Some automated systems such as the robot and intelligent vehicle relies heavily on an understanding of the environment. The most fundamental understanding of the visual environment is the Machine's ability to identify categories of scenery is still a lot of uncertainty. The uncertainty of the categorization of the scene appears because of the difficulty categories indicated in complex environments, the layout of objects and different scene in the same category. We present a model approach Distribution of the chance appearance of objects and classify them to obtain the semantic meaning of a scene. From the experiments conducted, the model shows high accuracy and using a dataset SUN908 this approach is an effective approach to explore the knowledge-based on the scenes label using large dataset.
Date of Conference: 03-04 October 2016
Date Added to IEEE Xplore: 13 February 2017
ISBN Information:
Electronic ISSN: 2470-640X
Conference Location: Bandung, Indonesia

References

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