HBRP Publication
Published March 3, 2020 | Version v1
Journal article Open

Object Detection and Motion Tracking

Creators

  • 1. Department of Information Technology, Shah and Anchor Kutchhi Engineering College, Mumbai, India.

Description

Tracking, learning and detection in the real video is very important for video surveillance. In this paper we proposed the object detection method.In this project we have implemented deep learning algorithm which uses OpenCV framework. Output is depends on complex shapes, rapid motion and illumination changes.

Files

Object Detection and Motion Tracking -HBRP Publication.pdf

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Additional details

References

  • Hsiao, Shen-Fu, et al. "Design and Implementation of Multiple-Vehicle Detection and Tracking Systems with Machine Learning." 2014 17th Euromicro Conference on Digital System Design, 2014
  • Nemade, Bhushan, and Vinayak Ashok Bharadi. "Adaptive Automatic Tracking, Learning and Detection of Any Real Time Object in the Video Stream." 2014 5th International Conference - Confluence The Next Generation Information Technology Summit (Confluence), 2014.
  • Sun, Bin, et al. "Multiple Objects Tracking and Identification Based on Sparse Representation in Surveillance Video." 2015 IEEE International Conference on Multimedia Big Data, 2015
  • Xiao Liu, Dacheng Tao, Senior Member, IEEE, Mingli Song, Senior Member, IEEE. "Learning to Track Multiple Targets".2015 IEEE Transaction on neural networks and learning system, 2015
  • Shen-Fu Hsiao, Guan-Fu Yeh, and Je- Chi Chen "Design and Implementation of Multiple-Vehicle Detection and Tracking Systems with Machine Learning" 2014 17th Euromicro Conference on Digital System Design,2014

Subjects

Computer Science Engineering
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