Analysis of Gait Pattern to Recognize the Human Activities

Authors

  • Jay Prakash Gupta Infosys (India) image/svg+xml
  • Pushkar Dixit Faculty of Engineering and Technology Agra College, Agra, India.
  • Nishant Singh Poornima University image/svg+xml
  • Vijay Bhaskar Semwal Siemens Information System, India.

DOI:

https://doi.org/10.9781/ijimai.2014.271

Keywords:

Patterns, Human-Computer Interaction (HCI), Recognition, Feature Extraction, Video Surveillance

Abstract

Human activity recognition based on the computer vision is the process of labelling image sequences with action labels. Accurate systems for this problem are applied in areas such as visual surveillance, human computer interaction and video retrieval. The challenges are due to variations in motion, recording settings and gait differences. Here we propose an approach to recognize the human activities through gait. Activity recognition through Gait is the process of identifying an activity by the manner in which they walk. The identification of human activities in a video, such as a person is walking, running, jumping, jogging etc are important activities in video surveillance. We contribute the use of Model based approach for activity recognition with the help of movement of legs only. Experimental results suggest that our method are able to recognize the human activities with a good accuracy rate and robust to shadows present in the videos.

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Published

2014-09-01
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How to Cite

Prakash Gupta, J., Dixit, P., Singh, N., and Bhaskar Semwal, V. (2014). Analysis of Gait Pattern to Recognize the Human Activities. International Journal of Interactive Multimedia and Artificial Intelligence, 2(7), 7–16. https://doi.org/10.9781/ijimai.2014.271

Issue

Vol. 2 No. 7 (2014): IJIMAI 2014 - Special Issue on Multisensor User Tracking and Analytics to Improve Education and other Application Fields.

Section

Regular Articles