Human recognition for surveillance systems using bounding box

@article{Deepak2014HumanRF,
  title={Human recognition for surveillance systems using bounding box},
  author={Puneet Deepak and S. KrishnaKumar and Smitha Suresh},
  journal={2014 International Conference on Contemporary Computing and Informatics (IC3I)},
  year={2014},
  pages={851-856}
}
In all computer vision system, the important step is to separate moving object from background and thus detecting all the objects from video images. The main aim of this paper is to design a bounding box concept for the human detection and tracking system in the presence of crowd. The images are captured by using monocular cameras. The bounding box around each object can track the moving objects in each frame and it can be used to detect crowd and the estimation of crowd. This paper gives the… CONTINUE READING

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References

Publications referenced by this paper.
SHOWING 1-10 OF 11 REFERENCES

Patch Based frame work for occlusion Handling

Smitha Suresh, K Chitra, P Deepak
  • IEEE 2013
  • 2014
VIEW 1 EXCERPT

Dr.V.Vaidehi and E.Chandralekha, “Video Traffic Analysis For Abnormal Event Detection Using Frequent Item Set Mining

P.M.Ashok Kumar
  • International Conference on Recent Trends in Information Technology,
  • 2013
VIEW 1 EXCERPT

Ramprasad, “Estimating the density of people and Counting the number of people in a crowded environment for Human Safety

A. V. P Karpagavalli
  • International Conference on Communication and Signal processing,
  • 2013
VIEW 1 EXCERPT

Definition and Performance Evaluation of a Robust SVM Based Fall Detection Solution

  • 2012 Eighth International Conference on Signal Image Technology and Internet Based Systems
  • 2012
VIEW 1 EXCERPT

People Counting Using Multi-Mode Multi-Target Tracking Scheme

  • 2009 Fifth International Conference on Intelligent Information Hiding and Multimedia Signal Processing
  • 2009
VIEW 1 EXCERPT

Crowd behaviours analysis in dynamic visual scenes of complex environment

  • 2008 15th IEEE International Conference on Image Processing
  • 2008
VIEW 1 EXCERPT

Home environment fall detection system based on a cascaded multi-SVM classifier

  • 2008 10th International Conference on Control, Automation, Robotics and Vision
  • 2008
VIEW 1 EXCERPT

Detecting Major Segmentation Errors for a Tracked Person Using Colour Feature Analysis

  • 14th International Conference on Image Analysis and Processing (ICIAP 2007)
  • 2007
VIEW 1 EXCERPT