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
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;
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
DOI :
10.1109/ISCAS.2000.857020