Project details for ChaLearn Gesture Challenge Turtle Tamers

Logo ChaLearn Gesture Challenge Turtle Tamers 1.0

by konkey - March 17, 2013, 18:39:22 CET [ BibTeX BibTeX for corresponding Paper Download ]

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The purpose of this paper is to describe one-shot-learning gesture recognition systems developed on the ChaLearn Gesture Dataset. We use RGB and depth images and combine appearance (Histograms of Oriented Gradients) and motion descriptors (Histogram of Optical Flow) for parallel temporal segmentation and recognition. Quadratic-chi distance family is used to measure di erences between histograms to capture cross-bin relationships. We also propose a new algorithm for trimming videos | to remove all the unimportant frames from videos. Our two methods both outperform other published methods and help narrow down the gap between human performance and algorithms on this task.

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BibTeX Entry: Download
Corresponding Paper BibTeX Entry: Download
Supported Operating Systems: Windows
Data Formats: Matlab, Any Format Supported By Matlab
Tags: Chalearn
Archive: download here


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