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Real-Time Robust and Cost-Efficient Hand Tracking in Colored Video Using Simple Camera

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Social Networking and Computational Intelligence

Part of the book series: Lecture Notes in Networks and Systems ((LNNS,volume 100))

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Abstract

Dynamic hand gesture recognition field has high potential to change the interaction mechanism between human and machine. But user interfaces (UIs) working on hand movements are still a challenge because of the lack of cost-effective and robust hand tracking techniques. To avoid the challenges encountered in tracking, non-rigid and subtle object-Hand, researchers use advance cameras which overall increases the cost and complexity of any technique. In this paper, we have focused on two important stages of dynamic hand tracking, first is hand modeling and second is robust hand tracking. We have developed a prototype of hand tracking using graphical user interface (GUI) of MATLAB software, working on live videos captured using a normal camera. The proposed system is tested on videos in intelligent biometric group hand tracking (IBGHT) database.

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Authors and Affiliations

  1. E&I Department, Samrat Ashok Technological Institute, Vidisha, Madhya Pradesh, 464001, India

    Richa Golash & Yogendra Kumar Jain

Authors
  1. Richa Golash
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  2. Yogendra Kumar Jain
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Corresponding author

Correspondence to Richa Golash .

Editor information

Editors and Affiliations

  1. Department of Computer Science and Engineering, Sagar Institute of Research and Technology, Bhopal, Madhya Pradesh, India

    Rajesh Kumar Shukla

  2. Department of Computer Science and Engineering, University Teaching Department, Rajiv Gandhi Technical University (State Technological University), Bhopal, Madhya Pradesh, India

    Jitendra Agrawal

  3. School of Information Technology, Rajiv Gandhi Technical University (State Technological University), Bhopal, Madhya Pradesh, India

    Sanjeev Sharma

  4. Department of Computer Science and Engineering, Indian Institute of Technology Indore, Indore, Madhya Pradesh, India

    Narendra S. Chaudhari

  5. Department of Computer Science and Engineering, Indian Institute of Technology BHU, Varanasi, Uttar Pradesh, India

    K. K. Shukla

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Golash, R., Jain, Y.K. (2020). Real-Time Robust and Cost-Efficient Hand Tracking in Colored Video Using Simple Camera. In: Shukla, R., Agrawal, J., Sharma, S., Chaudhari, N., Shukla, K. (eds) Social Networking and Computational Intelligence. Lecture Notes in Networks and Systems, vol 100. Springer, Singapore. https://doi.org/10.1007/978-981-15-2071-6_45

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