Speed-Invariant Gait Recognition Using Correlation Factor Lists for Classroom Attendance Systems
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Publisher
Springer Nature Switzerland
Link
https://link.springer.com/content/pdf/10.1007/978-3-031-62217-5_24
Reference24 articles.
1. Alotaibi, M., Mahmood, A.: Improved gait recognition based on specialized deep convolutional neural network. Comput. Vis. Image Underst. 164, 103–110 (2017)
2. Anusha, R., Jaidhar, C.: An approach to speed invariant gait analysis for human recognition using mutual information. In: TENCON 2019-2019 IEEE Region 10 Conference (TENCON), pp. 1616–1621. IEEE (2019)
3. Anusha, R., Jaidhar, C.: Frontal gait recognition based on hierarchical centroid shape descriptor and similarity measurement. In: 2019 International Conference on Data Science and Engineering (ICDSE), pp. 71–76. IEEE (2019)
4. Anusha, R., Jaidhar, C.: Clothing invariant human gait recognition using modified local optimal oriented pattern binary descriptor. Multimedia Tools Appli. 79, 2873–2896 (2020)
5. Arora, P., Hanmandlu, M., Srivastava, S.: Gait based authentication using gait information image features. Pattern Recogn. Lett. 68, 336–342 (2015)
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