"Moving Object Tracking of Vehicle Detection": A Concise Review

@article{Shukla2015MovingOT,
  title={"Moving Object Tracking of Vehicle Detection": A Concise Review},
  author={Ashutosh Shukla and Mona Saini},
  journal={International Journal of Signal Processing, Image Processing and Pattern Recognition},
  year={2015},
  volume={8},
  pages={169-176}
}
  • A. Shukla, Mona Saini
  • Published 31 March 2015
  • Computer Science
  • International Journal of Signal Processing, Image Processing and Pattern Recognition
Vehicle detection and tracking applications play an important role for military and civilian applications such as in highway traffic surveillance control management and traffic planning.This paper presents a review on the various techniques of On-Road Vehicle detection systems that are based on motion model. In this paper a literature Survey of previous and recent works is presented on visionbased vehicle detection using sensors. Detecting the objects in the video and tracking their motion to… 
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19 Citations
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19 Citations

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A novel data fusion approach to attack the moving object detection and tracking problem, which combines an entropy-based Canny operator with the local and global optical flow method, namely EC-LGOF, is proposed.
A moving vehicle tracking algorithm based on deep learning
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A traditional GMM algorithm is improved, a sparse DAE neural network feature learning framework is proposed to ensure efficient extraction of vehicle features and reduce feature redundancy, and the vehicle is tracked in its area.
Random bounce algorithm: real-time image processing for the detection of bats and birds
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The random bounce algorithm (RBA) is proposed as a novel real-time image processing method for vision-based detection of bats and birds and is combined with object tracking in order to extract flight trajectories.
Unmanned Aerial Aircraft Systems for Transportation Engineering: Current Practice and Future Challenges
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A new comparison framework to survey neural networks‐based vehicle detection and classification approaches
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This paper provides a guide for researchers to use or design robust VDC systems with proper characteristics based on their needs and introduces a new comparison framework to classify and compare the VDC approaches.
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