17 March 2017 Human motion detection and tracking
Author Affiliations +
Proceedings Volume 10341, Ninth International Conference on Machine Vision (ICMV 2016); 1034106 (2017) https://doi.org/10.1117/12.2268539
Event: Ninth International Conference on Machine Vision, 2016, Nice, France
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).
© (2017) COPYRIGHT Society of Photo-Optical Instrumentation Engineers (SPIE). Downloading of the abstract is permitted for personal use only.
Neziha Jaouedi, Neziha Jaouedi, Soumaya Zaghbani, Soumaya Zaghbani, Noureddine Boujnah, Noureddine Boujnah, Mohamed Salim Bouhlel, Mohamed Salim Bouhlel, } "Human motion detection and tracking", Proc. SPIE 10341, Ninth International Conference on Machine Vision (ICMV 2016), 1034106 (17 March 2017); doi: 10.1117/12.2268539; https://doi.org/10.1117/12.2268539


Behavior subtraction
Proceedings of SPIE (January 27 2008)
Shot detection combining Bayesian and structural information
Proceedings of SPIE (December 31 2000)
Home-video content analysis for MTV-style video generation
Proceedings of SPIE (January 16 2005)

Back to Top