A Vision-Based Feature Extraction Techniques for Recognizing Human Gait: A Review
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Publisher
Springer Nature Singapore
Link
https://link.springer.com/content/pdf/10.1007/978-981-99-5180-2_41
Reference25 articles.
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4. Yoo, J.H., Hwang, D., Nixon, M.S.: Gender classification in human gait using support vector machine. Lect. Notes Comput. Sci. 3708:138–145 (2005). https://doi.org/10.1007/11558484_18
5. Benbakreti, S., Benbakreti, S., Benyettou, M.: Recognizing human gait in video sequences. In: Proceeding 2012 International Conference of the Chilean Computer System ICMCS 2012, pp. 323–327 (2012). https://doi.org/10.1109/ICMCS.2012.6320280.
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