DocumentCode
2225776
Title
Continuous overlap pursuit method to detect moving objects in natural scenes
Author
Fuwa, Yutaka ; Shimokawa, Yoshiyuki ; Inada, Akio
Author_Institution
Heavy Apparatus Eng. Lab., Toshiba Corp., Tokyo, Japan
fYear
1993
fDate
15-19 Nov 1993
Firstpage
1797
Abstract
To detect moving objects in natural scenes by image data, the authors have developed an object detection algorithm called the continuous overlap pursuit (COP) method. The COP method, which uses continuous plural image data and pursues difference images, can detect moving objects even with much background noise such as swinging trees, white noise, and changes of brightness and other factors in the image data. The COP method is constructed by basic image processing, so it is applied easily to image processing hardware for real-time recognition
Keywords
image recognition; image sequences; motion estimation; background noise; continuous overlap pursuit method; continuous plural image data; difference images; moving objects; natural scenes; real-time recognition; Background noise; Brightness; Cameras; Hardware; Image processing; Layout; Motion detection; Object detection; Stereo vision; White noise;
fLanguage
English
Publisher
ieee
Conference_Titel
Industrial Electronics, Control, and Instrumentation, 1993. Proceedings of the IECON '93., International Conference on
Conference_Location
Maui, HI
Print_ISBN
0-7803-0891-3
Type
conf
DOI
10.1109/IECON.1993.339346
Filename
339346
Link To Document