Flexible Human Behavior Analysis Framework for Video Surveillance Applications
We study a flexible framework for semantic analysis of human motion from surveillance video. Successful trajectory estimation and human-body modeling facilitate the semantic analysis of human activities in video sequences. Although human motion is widely investigated, we have extended such research...
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| Main Authors: | , , |
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| Format: | Article |
| Language: | English |
| Published: |
Wiley
2010-01-01
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| Series: | International Journal of Digital Multimedia Broadcasting |
| Online Access: | http://dx.doi.org/10.1155/2010/920121 |
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| _version_ | 1832552417613316096 |
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| author | Weilun Lao Jungong Han Peter H. N. de With |
| author_facet | Weilun Lao Jungong Han Peter H. N. de With |
| author_sort | Weilun Lao |
| collection | DOAJ |
| description | We study a flexible framework for semantic analysis of human motion from surveillance video. Successful trajectory estimation and human-body modeling facilitate the semantic analysis of human activities in video sequences. Although human motion is widely investigated, we have extended such research in three aspects. By adding a second camera, not only more reliable behavior analysis is possible, but it also enables to map the ongoing scene events onto a 3D setting to facilitate further semantic analysis. The second contribution is the introduction of a 3D reconstruction scheme for scene understanding. Thirdly, we perform a fast scheme to detect different body parts and generate a fitting skeleton model, without using the explicit assumption of upright body posture. The extension of multiple-view fusion improves the event-based semantic analysis by 15%–30%. Our proposed framework proves its effectiveness as it achieves a near real-time performance (13–15 frames/second and 6–8 frames/second) for monocular and two-view video sequences. |
| format | Article |
| id | doaj-art-3719f199102046079a4137d7cb72dbec |
| institution | Kabale University |
| issn | 1687-7578 1687-7586 |
| language | English |
| publishDate | 2010-01-01 |
| publisher | Wiley |
| record_format | Article |
| series | International Journal of Digital Multimedia Broadcasting |
| spelling | doaj-art-3719f199102046079a4137d7cb72dbec2025-02-03T05:58:40ZengWileyInternational Journal of Digital Multimedia Broadcasting1687-75781687-75862010-01-01201010.1155/2010/920121920121Flexible Human Behavior Analysis Framework for Video Surveillance ApplicationsWeilun Lao0Jungong Han1Peter H. N. de With2Eindhoven University of Technology, Den Dolech 2, 5600MB Eindhoven, The NetherlandsEindhoven University of Technology, Den Dolech 2, 5600MB Eindhoven, The NetherlandsEindhoven University of Technology, Den Dolech 2, 5600MB Eindhoven, The NetherlandsWe study a flexible framework for semantic analysis of human motion from surveillance video. Successful trajectory estimation and human-body modeling facilitate the semantic analysis of human activities in video sequences. Although human motion is widely investigated, we have extended such research in three aspects. By adding a second camera, not only more reliable behavior analysis is possible, but it also enables to map the ongoing scene events onto a 3D setting to facilitate further semantic analysis. The second contribution is the introduction of a 3D reconstruction scheme for scene understanding. Thirdly, we perform a fast scheme to detect different body parts and generate a fitting skeleton model, without using the explicit assumption of upright body posture. The extension of multiple-view fusion improves the event-based semantic analysis by 15%–30%. Our proposed framework proves its effectiveness as it achieves a near real-time performance (13–15 frames/second and 6–8 frames/second) for monocular and two-view video sequences.http://dx.doi.org/10.1155/2010/920121 |
| spellingShingle | Weilun Lao Jungong Han Peter H. N. de With Flexible Human Behavior Analysis Framework for Video Surveillance Applications International Journal of Digital Multimedia Broadcasting |
| title | Flexible Human Behavior Analysis Framework for Video Surveillance Applications |
| title_full | Flexible Human Behavior Analysis Framework for Video Surveillance Applications |
| title_fullStr | Flexible Human Behavior Analysis Framework for Video Surveillance Applications |
| title_full_unstemmed | Flexible Human Behavior Analysis Framework for Video Surveillance Applications |
| title_short | Flexible Human Behavior Analysis Framework for Video Surveillance Applications |
| title_sort | flexible human behavior analysis framework for video surveillance applications |
| url | http://dx.doi.org/10.1155/2010/920121 |
| work_keys_str_mv | AT weilunlao flexiblehumanbehavioranalysisframeworkforvideosurveillanceapplications AT jungonghan flexiblehumanbehavioranalysisframeworkforvideosurveillanceapplications AT peterhndewith flexiblehumanbehavioranalysisframeworkforvideosurveillanceapplications |