Subsense : A Change Detection Method
Keywords:
Motion detection, Canny edge detectionAbstract
The use of change detection algorithms to identify regions of interest in video sequences has long been a stepping stone in high level applications. They allow the subtraction of static background from scenes where relevant objects are always in motion. Subsense means Substance Sensitivity Segmenter. The paper aims at developing a system that provides mainly three concepts edge detection, object tracking and online video analysis. The concept, edge detection for motion detection is done by using the Canny edge detection algorithm.
References
- Pierre-Luc St-Charles, Guillaume-AlexandreBilodeau, Robert Bergevin, “SuBSENSE : A Universal Change Detection Method with Local Adaptive Sensitivity”.
- Suresh D, Lavanya M, “Motion Detection and Tracking using Background Subtraction and Consecutive Frames Difference Method”, International Journal of Research Studies in Science, Engineering and Technology Volume 1, Issue 5, August 2014, PP 16-22.
- Nikhil Singh, Praveen Kumar, PriyaAkhoury, Rohit Kumar, M. Ramasubramanian, “Motion Detection Application Using Web Camera”, International Journal of Modern Engineering Research (IJMER), Pp-75-77.
- DrHilal Adnan Fadhil, Dr Ahmad alkhodre, Haitham Mohammed KulalAlyousef, “Robust and Sensitive Video Motion Detection for security purpose analysis”, Volume 1, Issue 1, January 2015.
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