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2017 | OriginalPaper | Buchkapitel

Gait Recognition-Based Human Identification and Gender Classification

verfasst von : S. Arivazhagan, P. Induja

Erschienen in: Proceedings of International Conference on Computer Vision and Image Processing

Verlag: Springer Singapore

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Abstract

The main objective of this work is to identify the persons and to classify the gender of those persons with the help of their walking styles from the gait sequences with arbitrary walking directions. The human silhouettes are extracted from the given gait sequences using background subtraction technique. Median value approach is used for the background subtraction. After the extraction of the silhouettes, the affinity propagation clustering is performed to group the silhouettes with similar views and poses to one cluster. The cluster-based averaged gait image is taken as a feature for each cluster. To learn the distance metric, sparse reconstruction-based metric learning has been used. It minimizes the intraclass sparse reconstruction errors and maximizes the interclass reconstruction errors simultaneously. The above-mentioned steps have come under the training phase. With the help of the metric learned in the training and the feature extracted from the testing video sequence, sparse reconstruction-based classification has been performed for identifying the person and gender classification of that person. The accuracy achieved for the human identification and gender classification is promising.

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Literatur
1.
Zurück zum Zitat Prena Arora and Rajni, “Survey on Human Gait Recognition,” International Journal of Engineering Research and General Science., Vol. 3, Issue 3, May-June, 2015. Prena Arora and Rajni, “Survey on Human Gait Recognition,” International Journal of Engineering Research and General Science., Vol. 3, Issue 3, May-June, 2015.
2.
Zurück zum Zitat J. Han and B. Bhanu, “Individual Recognition Using Gait Energy Image,” IEEE Trans. Pattern Anal. Mach. Intelligence., vol. 28, no. 2, pp. 316–322, Feb. 2006. J. Han and B. Bhanu, “Individual Recognition Using Gait Energy Image,” IEEE Trans. Pattern Anal. Mach. Intelligence., vol. 28, no. 2, pp. 316–322, Feb. 2006.
3.
Zurück zum Zitat B. J. Frey and D. Dueck, “Clustering by passing messages between data points,” Science, vol. 315, no. 5814, pp. 972–976, 2007. B. J. Frey and D. Dueck, “Clustering by passing messages between data points,” Science, vol. 315, no. 5814, pp. 972–976, 2007.
4.
Zurück zum Zitat J. Lu and E. Zhang, “Gait recognition for human identification based on ICA and fuzzy SVM through multiple views fu- sion,” Pattern Recognition Letter, vol. 28, no. 16, pp. 2401–2411, 2007. J. Lu and E. Zhang, “Gait recognition for human identification based on ICA and fuzzy SVM through multiple views fu- sion,” Pattern Recognition Letter, vol. 28, no. 16, pp. 2401–2411, 2007.
5.
Zurück zum Zitat M. Goffredo, I. Bouchrika, J. Carter, and M. Nixon, “Self-calibrating view-invariant gait biometrics,” IEEE Trans. Syst., Man, Cybern. B, Cybern, vol. 40, no. 4, pp. 997–1008, Aug. 2010. M. Goffredo, I. Bouchrika, J. Carter, and M. Nixon, “Self-calibrating view-invariant gait biometrics,” IEEE Trans. Syst., Man, Cybern. B, Cybern, vol. 40, no. 4, pp. 997–1008, Aug. 2010.
6.
Zurück zum Zitat W. Kusakunniran, Q. Wu, J. Zhang, and H. Li, “Support vector regression for multi-view gait recognition based on local motion feature selection,” in Proc. IEEE Int. Conf. Computer. Vis. Pattern Recognition., June. 2010, pp. 974–981. W. Kusakunniran, Q. Wu, J. Zhang, and H. Li, “Support vector regression for multi-view gait recognition based on local motion feature selection,” in Proc. IEEE Int. Conf. Computer. Vis. Pattern Recognition., June. 2010, pp. 974–981.
7.
Zurück zum Zitat Daigo Muramatsu, Akira Shiraishi, Yasushi Makihara, Md. Zasim Uddin, and Yasushi Yagi, “Gait-Based Person Recogni- tion Using Arbitrary View Transformation Model”, IEEE Transactions On Image Processing, Vol. 24, no. 1, January 2015. Daigo Muramatsu, Akira Shiraishi, Yasushi Makihara, Md. Zasim Uddin, and Yasushi Yagi, “Gait-Based Person Recogni- tion Using Arbitrary View Transformation Model”, IEEE Transactions On Image Processing, Vol. 24, no. 1, January 2015.
8.
Zurück zum Zitat Songmin Jia, Lijia Wang, and Xiuzhi Li, “View-invariant Gait Authentication Based on Silhouette Contours Analysis and View Estimation”, on IEEE/CAA Journal Of Automatica Sinica, Vol. 2, No. 2, April 2015. Songmin Jia, Lijia Wang, and Xiuzhi Li, “View-invariant Gait Authentication Based on Silhouette Contours Analysis and View Estimation”, on IEEE/CAA Journal Of Automatica Sinica, Vol. 2, No. 2, April 2015.
9.
Zurück zum Zitat M.Jeevan, Neha Jain, M.Hanmandlu, Girija Chetty, “Gait Recognition based on Gait PAL and PAL Entropy Image”, in Proc. 8th IEEE Int. Conf. Image Processing, 2013, pp. 4195–4199. M.Jeevan, Neha Jain, M.Hanmandlu, Girija Chetty, “Gait Recognition based on Gait PAL and PAL Entropy Image”, in Proc. 8th IEEE Int. Conf. Image Processing, 2013, pp. 4195–4199.
10.
Zurück zum Zitat Jiwen Lu, Gang Wang, and Pierre Moulin, “Human Identity and Gender Recognition from Gait Sequences with Arbitrary Walking Directions”, IEEE Transactions on Information Forensics and Security, Vol. 9, No. 1, January 2014. Jiwen Lu, Gang Wang, and Pierre Moulin, “Human Identity and Gender Recognition from Gait Sequences with Arbitrary Walking Directions”, IEEE Transactions on Information Forensics and Security, Vol. 9, No. 1, January 2014.
11.
Zurück zum Zitat J. Lu and Y.-P. Tan, “Uncorrelated Discriminant Simplex Analysis For View-Invariant Gait Signal Computing,” Pattern Recognition. Letter, vol. 31, no. 5, pp. 382–393, 2010. J. Lu and Y.-P. Tan, “Uncorrelated Discriminant Simplex Analysis For View-Invariant Gait Signal Computing,” Pattern Recognition. Letter, vol. 31, no. 5, pp. 382–393, 2010.
12.
Zurück zum Zitat W. Kusakunniran, Q. Wu, J. Zhang, and H. Li, “Gait recognition under various viewing angles based on correlated motion regression,” IEEE Trans. Circuits Syst. Video Technology., vol. 22, no. 6, pp. 966–980, June. 2012. W. Kusakunniran, Q. Wu, J. Zhang, and H. Li, “Gait recognition under various viewing angles based on correlated motion regression,” IEEE Trans. Circuits Syst. Video Technology., vol. 22, no. 6, pp. 966–980, June. 2012.
13.
Zurück zum Zitat Daigo Muramatsu, Akira Shiraishi, Yasushi Makihara, Md. Zasim Uddin, and Yasushi Yagi, “Gait-Based Person Recogni- tion Using Arbitrary View Transformation Model”, IEEE Transactions On Image Processing, Vol. 24, no. 1, January 2015. Daigo Muramatsu, Akira Shiraishi, Yasushi Makihara, Md. Zasim Uddin, and Yasushi Yagi, “Gait-Based Person Recogni- tion Using Arbitrary View Transformation Model”, IEEE Transactions On Image Processing, Vol. 24, no. 1, January 2015.
14.
Zurück zum Zitat Songmin Jia, Lijia Wang, and Xiuzhi Li, “View-invariant Gait Authentication Based on Silhouette Contours Analysis and View Estimation”, on IEEE/CAA Journal Of Automatica Sinica, Vol. 2, No. 2, April 2015. Songmin Jia, Lijia Wang, and Xiuzhi Li, “View-invariant Gait Authentication Based on Silhouette Contours Analysis and View Estimation”, on IEEE/CAA Journal Of Automatica Sinica, Vol. 2, No. 2, April 2015.
Metadaten
Titel
Gait Recognition-Based Human Identification and Gender Classification
verfasst von
S. Arivazhagan
P. Induja
Copyright-Jahr
2017
Verlag
Springer Singapore
DOI
https://doi.org/10.1007/978-981-10-2104-6_48

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