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báo cáo hóa học:" Research Article Human Motion Analysis via Statistical Motion Processing and Sequential Change Detection"

Tuyển tập báo cáo các nghiên cứu khoa học quốc tế ngành hóa học dành cho các bạn yêu hóa học tham khảo đề tài:Research Article Human Motion Analysis via Statistical Motion Processing and Sequential Change Detection | Hindawi Publishing Corporation EURASIP Journal on Image and Video Processing Volume 2009 Article ID 652050 16 pages doi 10.1155 2009 652050 Research Article Human Motion Analysis via Statistical Motion Processing and Sequential Change Detection Alexia Briassouli Vagia Tsiminaki and Ioannis Kompatsiaris Centre for Research and Technology Hellas Informatics and Telematics Institute Thermi-Thessaloniki 57001 Greece Correspondence should be addressed to Alexia Briassouli abria@iti.gr Received 31 January 2009 Revised 29 May 2009 Accepted 15 July 2009 Recommended by Yoichi Sato The widespread use of digital multimedia in applications such as security surveillance and the semantic web has made the automated characterization of human activity necessary. In this work a method for the characterization of multiple human activities based on statistical processing of the video data is presented. First the active pixels of the video are detected resulting in a binary mask called the Activity Area. Sequential change detection is then applied to the data examined in order to detect at which time instants there are changes in the activity taking place. This leads to the separation of the video sequence into segments with different activities. The change times are examined for periodicity or repetitiveness in the human actions. The Activity Areas and their temporal weighted versions the Activity History Areas for the extracted subsequences are used for activity recognition. Experiments with a wide range of indoors and outdoors videos of various human motions including challenging videos with dynamic backgrounds demonstrate the proposed system s good performance. Copyright 2009 Alexia Briassouli et al. This is an open access article distributed under the Creative Commons Attribution License which permits unrestricted use distribution and reproduction in any medium provided the original work is properly cited. 1. Introduction The area of human motion analysis is one of the most active