DocumentCode
2242871
Title
Automatic extraction of moving objects using multiple features and multiple frames
Author
Pan, Jinhui ; Li, Shipeng ; Zhang, Ya-Qin
Author_Institution
Tsinghua Univ., Beijing, China
Volume
1
fYear
2000
fDate
2000
Firstpage
36
Abstract
This paper introduces a novel automatic video object extraction algorithm based on combination of color and motion segmentation results. The algorithm includes five parts: preprocessing, color segmentation, motion segmentation, combination of color and motion segmentation of multiple frames, post-processing. The performance of this algorithm is very promising, resulting in pixel-wise accuracy of extracted objects. Since it is an automatic extraction algorithm, it can be very useful in some real time video processing system based on video objects
Keywords
feature extraction; image colour analysis; image segmentation; object recognition; real-time systems; video signal processing; automatic extraction; color segmentation; motion segmentation; moving objects; multiple features; multiple frames; pixel-wise accuracy; post-processing; preprocessing; real time video processing system; video object; Color; Colored noise; Computer vision; Data mining; Humans; Low pass filters; Motion segmentation; Real time systems; Video sequences; Videoconference;
fLanguage
English
Publisher
ieee
Conference_Titel
Circuits and Systems, 2000. Proceedings. ISCAS 2000 Geneva. The 2000 IEEE International Symposium on
Conference_Location
Geneva
Print_ISBN
0-7803-5482-6
Type
conf
DOI
10.1109/ISCAS.2000.857020
Filename
857020
Link To Document