標題: Automatic fall incident detection in compressed video for intelligent homecare
作者: Lin, Chia-Wen
Ling, Zhi-Hong
資訊工程學系
Department of Computer Science
關鍵字: homecare;compressed-domain processing;video surveillance;fall detection
公開日期: 2007
摘要: This paper presents a compressed-domain fall incident detection scheme for intelligent homecare applications. First, a compressed-domain object segmentation scheme is performed to extract moving objects based on global motion estimation and local motion clustering. After detecting the moving objects, three compressed-domain features of each object are then extracted for identifying and locating fall incidents. The proposed system can differentiate fall-down from squatting by taking into account the event duration. Our experiments show that the proposed method can correctly detect fall incidents in real time.
URI: http://hdl.handle.net/11536/135667
ISBN: 978-1-4244-1250-1
ISSN: 1095-2055
期刊: PROCEEDINGS - 16TH INTERNATIONAL CONFERENCE ON COMPUTER COMMUNICATIONS AND NETWORKS, VOLS 1-3
起始頁: 1172
結束頁: +
Appears in Collections:Conferences Paper