標題: Object Tracking Under Sensing Lighting Equipments
作者: Chiu, Cheng-Hsiang
Hung, Pang-Chan
Huang, Hsing-Lu
Chuang, Jen-Hui
資訊工程學系
Department of Computer Science
關鍵字: Near-infrared;Gaussian mixture modeling;two-mode GMM;sensing lighting equipments
公開日期: 2010
摘要: In this paper, image processing techniques are applied to the analysis of near-infrared videos. The goal is to detect human activities in the videos. For detecting human activities, we implement the Gaussian mixture modeling (GMM) to construct background model and to perform foreground detection. Additionally, we pay attention to commonly used sensing lighting equipments used in nighttime environment because of its illumination and shadowing phenomena. Accordingly, a two-mode GMM is proposed which separately constructs background GMM for different lighting conditions and switches GMM modes by event detection. In order to cope with excessive shadowing phenomenon, an efficient way of searching footholds by using scan-lines is proposed to remove human shadows. The proposed approach will provide reasonable bounding boxes information of human regions as detection results which will be very helpful for a nighttime surveillance system.
URI: http://hdl.handle.net/11536/21393
ISBN: 978-1-4244-5046-6
期刊: ICIEA 2010: PROCEEDINGS OF THE 5TH IEEE CONFERENCE ON INDUSTRIAL ELECTRONICS AND APPLICATIONS, VOL 4
起始頁: 574
結束頁: 577
Appears in Collections:Conferences Paper