Abstract
In this paper, a new approach is proposed for extracting human gait features from a walking human based on the silhouette images. The approach consists of six stages: clearing the background noise of image by morphological opening; measuring of the width and height of the human silhouette; dividing the enhanced human silhouette into six body segments based on anatomical knowledge; applying morphological skeleton to obtain the body skeleton; applying Hough transform to obtain the joint angles from the body segment skeletons; and measuring the distance between the bottom of right leg and left leg from the body segment skeletons. The angles of joints, step-size together with the height and width of the human silhouette are collected and used for gait analysis. The experimental results have demonstrated that the proposed system is feasible and achieved satisfactory results.
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References
BenAbdelkader, C., Culter, R., Nanda, H., Davis, L.: EigenGait: Motion-based Recognition of People Using Image Self-similarity. In: Proceeding of International Conference Audio and Video-Based Person Authentication, pp. 284–294 (2001)
Bobick, A., Johnson, A.: Gait Recognition Using Static, Activity-specific Parameters. In: Proceeding IEEE Computer Vision and Pattern Recognition, pp. 423–430 (2001)
Cunado, D., Nixon, M., Carter, J.: Automatic Extraction and Description of Human Gait Models for Recognition Purposes. Computer and Vision Image Understanding 90, 1–41 (2003)
BenAbdelkader, C., Cutler, R., Davis, L.: Motion-based Recognition of People in Eigengait Space. In: Proceedings of Fifth IEEE International Conference, pp. 267–272 (2002)
Collin, R., Gross, R., Shi, J.: Silhouette-based Human Identification from Body Shape and Gait. In: Proceedings of Fifth IEEE International Conference, pp. 366–371 (2002)
Phillips, P.J., Sarkar, S., Robledo, I., Grother, P., Bowyer, K.: The Gait Identification Challenge Problem: Dataset and Baseline Algorithm. In: Proceedings of 16th International Conference Pattern Recognition, pp. 385–389 (2002)
Yoo, J.H., Nixon, M.S., Harris, C.J.: Extracting Human Gait Signatures by Body Segment Properties. In: Fifth IEEE Southwest Symposium on Image Analysis and Interpretation, pp. 35–39 (2002)
Wagg, D.K., Nixon, M.S.: On Automated Model-based Extraction and Analysis of Gait. In: Proceedings of 6th IEEE International Conference on Automatic face and Gesture Recognition, pp. 11–16 (2004)
Shutler, J.D., Grant, M.G., Nixon, M.S., Carter, J.N.: On a Large Sequence-based Human Gait Database. In: Proceedings of 4th International Conference on Recent Advances in Soft Computing, pp. 66–71 (2002)
Dempster, W.T., Gaughran, G.R.L.: Properties of Body Segments Based on Size and Weight. American Journal of Anatomy 120, 33–54 (1967)
Keller, J., Gray, M., Givens, J.: A Fuzzy K-Nearest Neighbour Algorithm. IEEE Trans. Systems, Man, Cybern. 15, 580–585 (1985)
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Ng, H., Tan, WH., Tong, HL., Abdullah, J., Komiya, R. (2009). Extraction and Classification of Human Gait Features. In: Badioze Zaman, H., Robinson, P., Petrou, M., Olivier, P., Schröder, H., Shih, T.K. (eds) Visual Informatics: Bridging Research and Practice. IVIC 2009. Lecture Notes in Computer Science, vol 5857. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-642-05036-7_56
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DOI: https://doi.org/10.1007/978-3-642-05036-7_56
Publisher Name: Springer, Berlin, Heidelberg
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