Titlebook: Advances in Visual Computing; 12th International S George Bebis,Richard Boyle,Tobias Isenberg Conference proceedings 2016 Springer Internat

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Gualtiero Piccinini,Corey J. Maleyndow at different scales and scan the image. However, these methods suffer from low computational efficiency and time consuming. We propose in this paper the use of saliency detection based on contourlet transform to generate a region of interest (ROI). The resulting saliency map is then used for fe

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Sonic Consciousness in Hindu India drownings happen at harbor areas [.]. To address this problem thermal cameras have been placed strategically at a harbor. Using computer vision techniques an automatic surveillance system for predicting and detecting drowning accidents has been implemented. First a person detector has been implemen

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https://doi.org/10.1007/978-3-031-13920-8esearch and industrial communities. Physical activity recognition is difficult due to the inherent complexity involved with different walking styles and human body movements. Thus we present a correntropy induced dictionary pair learning framework to achieve this recognition. Our algorithm for this

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Is “das Geistige” the Basic of the World?uses unsupervised generative models containing autoencoders and conditional restricted Boltzmann machines to model temporal structure present in an action. Human motions are non-linear in nature, and thus require continuous temporal model representation of motion which are crucial for streaming vide

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On the Non-Computability of Consciousnesshealthcare industry. Computer vision provides a promising solution to analyze personal behavior and detect certain unusual events such as falls. In this paper, we present a new method for fall detection based on the variation of shape and motion. First, we use the CodeBook method to extract the pers

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Anna Margaretha Horatschek,Anand Srivastavelationships between the local gradient distributions of neighboring patches coming from successive frames in video. The proposed descriptor also characterizes the information changing across different orientations, is therefore very discriminative and robust. The major advantages of MOMP are its ve

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978-3-319-50831-3Springer International Publishing AG 2016

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George Bebis,Richard Boyle,Tobias IsenbergIncludes supplementary material: