Showing 5 open source projects for "action"

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  • 1
    NTU RGB-D

    NTU RGB-D

    Info and sample codes for "NTU RGB+D Action Recognition Dataset"

    ...Multi-modal action recognition dataset, RGB, depth, infrared, skeletal data. Split into background / evaluation sets for one-shot evaluation (in the extended dataset).
    Downloads: 1 This Week
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  • 2
    Utah Raster Toolkit

    Utah Raster Toolkit

    The Utah Raster Toolkit 3.0, patchlevel 2

    This is the Utah Raster Toolkit distribution version 3.0 of June, 1990. ~~~ librle.a, image.rle file type support, animation, rletogif, converters, many utilities. RLE format supports a great number of raw inner formats for applications to use, known together as .rle (ie, "stored windowing") ~~~ The Utah Raster toolkit is a collection of programs and C routines for dealing with raster images commonly encountered in computer graphics. It provides the following major functions: ...
    Downloads: 43 This Week
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  • 3

    ProximityForest

    Efficient Approximate Nearest Neighbors for General Metric Spaces

    ..., WACV 2013 (best student paper award). One application of a ProximityForest is given in the following CVPR publication: Stephen O'Hara and Bruce A. Draper, "Scalable Action Recognition with a Subspace Forest," IEEE Conference on Computer Vision and Pattern Recognition, 2012. This source code is provided without warranty and is available under the GPL license. More commercially-friendly licenses may be available. Please contact Stephen O'Hara for license options. Please view the wiki on this site for installation instructions and examples on reproducing the results of the papers.
    Downloads: 0 This Week
    Last Update:
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  • 4
    Game Toolbox is a C# assembly designed to facilitate the creation of games and game prototypes. It contains no graphics code, does not depend on XNA, and is Mono-compatible. It provides implementations of A*, GOAP, a genetic algorithm, and more.
    Downloads: 4 This Week
    Last Update:
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  • 5
    Simulation of plants, prey, and predators, using sense->think->action paradigm with neural net processing. Reproduction and mutation implemented.
    Downloads: 0 This Week
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