Human Gait Gender Classification using 3D Discrete Wavelet Transform Feature Extraction
نویسندگان
چکیده
منابع مشابه
Human Gait Gender Classification using 3D Discrete Wavelet Transform Feature Extraction
Feature extraction for gait recognition has been created widely. The ancestor for this task is divided into two parts, model based and free-model based. Model-based approaches obtain a set of static or dynamic skeleton parameters via modeling or tracking body components such as limbs, legs, arms and thighs. Model-free approaches focus on shapes of silhouettes or the entire movement of physical ...
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Human Gait as the recognition object is the famous biometrics system recently. Many researchers had focused this issue to consider for a new recognition system. One of the important advantage in this recognition compare to other is it does not require observed subject’s attention and assistance. There are many human gait datasets created within the last 10 years. Some databases that widely used...
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ژورنال
عنوان ژورنال: International Journal of Advanced Research in Artificial Intelligence
سال: 2014
ISSN: 2165-4069,2165-4050
DOI: 10.14569/ijarai.2014.030203