Line Area Monitoring using Structural Similarity Index

Real-time motion detection in specific area is considered the most important task in every video surveillance system. In this paper, a novel real time motion detection algorithm introduced to process Line zones called Line Monitoring Algorithm (LMA). This algorithm integrates Bresenham’s Algorithm and Structural Similarity Index (SSI) in order to achieve the best performance. Bresenham’s Algorithm is used to collect line pixels from two given points. Then, the SSI is used for real-time calculation of similarity for line motion detection. The most attractive side of using the LMA is that the algorithm does not need to compare all pixels of the whole images or regions for line areas monitoring. This algorithm has high capability, treatment speed and efficiency for motion detection and also demands less compilation time for the hardware performance. The main objective of this paper is to use a video surveillance system implementing LMA to supervise the Car Reverse Test (CRT) for driving license exam in Morocco. The evaluation of the experiment results in implementing the proposed algorithm is reported in this paper.

@article{AZI2019,
  title     = {Line Area Monitoring using Structural Similarity Index},
  journal   = {International Journal of Advanced Computer Science and Applications},
  volume    = {10},
  number    = {9},
  year      = {2019},
  publisher = {The Science and Information Organization},
  author    = {Abderrahman AZI and Abderrahim SALHI and Mostafa JOURHMANE},
  doi       = {10.14569/IJACSA.2019.0100917},
  url       = {https://doi.org/10.14569/IJACSA.2019.0100917}
}