標題: Fall detection for multiple pedestrians using depth image processing technique
作者: Yang, Shih-Wei
Lin, Shir-Kuan
電控工程研究所
Institute of Electrical and Control Engineering
關鍵字: Fall detection;Depth image analysis;Multiple pedestrian detection;Illumination compensation
公開日期: 1-Apr-2014
摘要: A fall detection method based on depth image analysis is proposed in this paper. As different from the conventional methods, if the pedestrians are partially overlapped or partially occluded, the proposed method is still able to detect fall events and has the following advantages: (1) single or multiple pedestrian detection; (2) recognition of human and non-human objects; (3) compensation for illumination, which is applicable in scenarios using indoor light sources of different colors; (4) using the central line of a human silhouette to obtain the pedestrian tilt angle; and (5) avoiding misrecognition of a squat or stoop as a fall. According to the experimental results, the precision of the proposed fall detection method is 94.31% and the recall is 85.57%. The proposed method is verified to be robust and specifically suitable for applying in family homes, corridors and other public places. (C) 2014 Elsevier Ireland Ltd. All rights reserved.
URI: http://dx.doi.org/10.1016/j.cmpb.2014.02.001
http://hdl.handle.net/11536/24272
ISSN: 0169-2607
DOI: 10.1016/j.cmpb.2014.02.001
期刊: COMPUTER METHODS AND PROGRAMS IN BIOMEDICINE
Volume: 114
Issue: 2
起始頁: 172
結束頁: 182
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