Title :
Detecting moving objects from omnidirectional dynamic images based on adaptive background subtraction
Author :
Yamazawa, Kazumasa ; Yokoya, Naokazu
Author_Institution :
Nara Inst. of Sci. & Technol., Japan
Abstract :
This paper describes a new method for detecting moving objects with an omnidirectional camera. The proposed method uses a fixed omnidirectional camera which can acquire images surrounding the camera and a background subtraction technique based on adaptively updating background images. In subtracting the background image from the input image, we consider the oscillation of intensity so that the proposed method can robustly detect moving objects under the condition that there are fluorescent lights and incoming lights from windows. In experiments, moving objects have been successfully detected in indoor environments.
Keywords :
object detection; surveillance; video cameras; video signal processing; adaptive background subtraction; adaptively updating background images; fluorescent lights; indoor environments; intensity oscillation; moving object detection; omnidirectional dynamic images; omnidirectional video camera; surveillance; Amplitude estimation; Cameras; Fluorescence; Indoor environments; Lenses; Mirrors; Object detection; Robustness; Shape; Subtraction techniques;
Conference_Titel :
Image Processing, 2003. ICIP 2003. Proceedings. 2003 International Conference on
Print_ISBN :
0-7803-7750-8
DOI :
10.1109/ICIP.2003.1247404