Human motion detection and tracking
Neziha Jaouedi, Soumaya Zaghbani, Noureddine Boujnah, Med Salim Bouhlel · Proceedings of SPIE, the International Society for Optical Engineering/Proceedings of SPIE · 2017
Human behavior analysis in a video scene is based on motion feature extraction and recognition, many information is hidden behind gesture, sudden motion and walking, many research works tried to model and then recognize human behavior through motion analysis. In our work we will focus on motion extraction and tracking with some enhancements comparing to previous approaches. The first phase of behavior analysis is the extraction of regions in the video in motion. The second phase is devoted to motion tracking using Kalman filter. Performances evaluation are based on both visual quality and numerical values of MSE(Mean Squared Error).