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Báo cáo hóa học: " Research Article Combination of Accumulated Motion and Color Segmentation for Human Activity Analysis"

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 Combination of Accumulated Motion and Color Segmentation for Human Activity Analysis | Hindawi Publishing Corporation EURASIP Journal on Image and Video Processing Volume 2008 Article ID 735141 20 pages doi 10.1155 2008 735141 Research Article Combination of Accumulated Motion and Color Segmentation for Human Activity Analysis Alexia Briassouli Vasileios Mezaris and Ioannis Kompatsiaris Centre for Research and Technology Hellas Informatics and Telematics Institute 57001 Thermi-Thessaloniki Greece Correspondence should be addressed to Alexia Briassouli abria@iti.gr Received 1 February 2007 Revised 18 July 2007 Accepted 12 December 2007 Recommended by Nikos Nikolaidis The automated analysis of activity in digital multimedia and especially video is gaining more and more importance due to the evolution of higher level video processing systems and the development of relevant applications such as surveillance and sports. This paper presents a novel algorithm for the recognition and classification of human activities which employs motion and color characteristics in a complementary manner so as to extract the most information from both sources and overcome their individual limitations. The proposed method accumulates the flow estimates in a video and extracts regions of activity by processing their higher order statistics. The shape of these activity areas can be used for the classification of the human activities and events taking place in a video and the subsequent extraction of higher-level semantics. Color segmentation of the active and static areas of each video frame is performed to complement this information. The color layers in the activity and background areas are compared using the earth mover s distance in order to achieve accurate object segmentation. Thus unlike much existing work on human activity analysis the proposed approach is based on general color and motion processing methods and not on specific models of the human body and its kinematics. The combined use of color and motion information increases the method robustness to illumination