Vision based human activity tracking using artificial neural networks

@article{Fiaz2010VisionBH,
  title={Vision based human activity tracking using artificial neural networks},
  author={Mustansar Fiaz and Bushra Ijaz},
  journal={2010 International Conference on Intelligent and Advanced Systems},
  year={2010},
  pages={1-5}
}
The tracking and understanding the behavior of human beings is an important problem in a number of industrial applications. At the highest level, the system capable of resolving this problem should be able to recognize the human behavior and understand the intent and motive from the observation alone. This is a difficult task, even for humans to perform, and the mistakes and misinterpretations are very common. In this text, a method for the design of an artificial neural network based… CONTINUE READING

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References

Publications referenced by this paper.
Showing 1-10 of 10 references

On shadow elimination after moving region segmentation based on different threshold selection strategies

B. K. Mitra, R.C.D. Young, Chatwin, C. R. 2007
. s.l. : Optics and Lasers in Engineering, Vol: 45 Issue:11, pp:1088 – 1093, 2007. • 2007
View 2 Excerpts

Realtime estimation of human body posture from monocular thermal images. s.l

S. Iwasaw
Proceedings of the IEEE CS Conference on Computer Vision and Pattern Recognition, • 1997
View 1 Excerpt

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