Title :
Robust background generation using a modified mixture of Gaussian model for object detection
Author :
Maik, Vivek ; Hyungtae Kim ; Daehee Kim ; Eunjung Chae ; Joonki Paik
Author_Institution :
Dept. of Electron. & Commun., Oxford Coll. of Eng., Bangalore, India
Abstract :
This paper presents a robust background generation method using a modified mixture of Gaussian model. Traditional background generation methods become unstable when the camera viewpoint suddenly changes. To solve this problem, the proposed method robustly extracts the background by mixing multiple Gaussian models.
Keywords :
Gaussian processes; object detection; camera viewpoint; modified mixture; multiple Gaussian models; object detection; robust background generation method; Cameras; Gaussian distribution; Mathematical model; Object detection; Probability density function; Robustness; Surveillance; background modeling; object detection;
Conference_Titel :
Consumer Electronics (ISCE 2014), The 18th IEEE International Symposium on
Conference_Location :
JeJu Island
DOI :
10.1109/ISCE.2014.6884522
