A Human Body Analysis System
<p/> <p>This paper describes a system for human body analysis (segmentation, tracking, face/hands localisation, posture recognition) from a single view that is fast and completely automatic. The system first extracts low-level data and uses part of the data for high-level interpretation....
| Main Authors: | , , |
|---|---|
| Format: | Article |
| Language: | English |
| Published: |
SpringerOpen
2006-01-01
|
| Series: | EURASIP Journal on Advances in Signal Processing |
| Online Access: | http://dx.doi.org/10.1155/ASP/2006/61927 |
| _version_ | 1811316938860658688 |
|---|---|
| author | Girondel Vincent Bonnaud Laurent Caplier Alice |
| author_facet | Girondel Vincent Bonnaud Laurent Caplier Alice |
| author_sort | Girondel Vincent |
| collection | DOAJ |
| description | <p/> <p>This paper describes a system for human body analysis (segmentation, tracking, face/hands localisation, posture recognition) from a single view that is fast and completely automatic. The system first extracts low-level data and uses part of the data for high-level interpretation. It can detect and track several persons even if they merge or are completely occluded by another person from the camera's point of view. For the high-level interpretation step, static posture recognition is performed using a belief theory-based classifier. The belief theory is considered here as a new approach for performing posture recognition and classification using imprecise and/or conflicting data. Four different static postures are considered: standing, sitting, squatting, and lying. The aim of this paper is to give a global view and an evaluation of the performances of the entire system and to describe in detail each of its processing steps, whereas our previous publications focused on a single part of the system. The efficiency and the limits of the system have been highlighted on a database of more than fifty video sequences where a dozen different individuals appear. This system allows real-time processing and aims at monitoring elderly people in video surveillance applications or at the mixing of real and virtual worlds in ambient intelligence systems.</p> |
| first_indexed | 2024-04-13T11:58:01Z |
| format | Article |
| id | doaj.art-34963018b7564973bc338e6f929a95fa |
| institution | Directory Open Access Journal |
| issn | 1687-6172 1687-6180 |
| language | English |
| last_indexed | 2024-04-13T11:58:01Z |
| publishDate | 2006-01-01 |
| publisher | SpringerOpen |
| record_format | Article |
| series | EURASIP Journal on Advances in Signal Processing |
| spelling | doaj.art-34963018b7564973bc338e6f929a95fa2022-12-22T02:47:52ZengSpringerOpenEURASIP Journal on Advances in Signal Processing1687-61721687-61802006-01-0120061061927A Human Body Analysis SystemGirondel VincentBonnaud LaurentCaplier Alice<p/> <p>This paper describes a system for human body analysis (segmentation, tracking, face/hands localisation, posture recognition) from a single view that is fast and completely automatic. The system first extracts low-level data and uses part of the data for high-level interpretation. It can detect and track several persons even if they merge or are completely occluded by another person from the camera's point of view. For the high-level interpretation step, static posture recognition is performed using a belief theory-based classifier. The belief theory is considered here as a new approach for performing posture recognition and classification using imprecise and/or conflicting data. Four different static postures are considered: standing, sitting, squatting, and lying. The aim of this paper is to give a global view and an evaluation of the performances of the entire system and to describe in detail each of its processing steps, whereas our previous publications focused on a single part of the system. The efficiency and the limits of the system have been highlighted on a database of more than fifty video sequences where a dozen different individuals appear. This system allows real-time processing and aims at monitoring elderly people in video surveillance applications or at the mixing of real and virtual worlds in ambient intelligence systems.</p>http://dx.doi.org/10.1155/ASP/2006/61927 |
| spellingShingle | Girondel Vincent Bonnaud Laurent Caplier Alice A Human Body Analysis System EURASIP Journal on Advances in Signal Processing |
| title | A Human Body Analysis System |
| title_full | A Human Body Analysis System |
| title_fullStr | A Human Body Analysis System |
| title_full_unstemmed | A Human Body Analysis System |
| title_short | A Human Body Analysis System |
| title_sort | human body analysis system |
| url | http://dx.doi.org/10.1155/ASP/2006/61927 |
| work_keys_str_mv | AT girondelvincent ahumanbodyanalysissystem AT bonnaudlaurent ahumanbodyanalysissystem AT caplieralice ahumanbodyanalysissystem AT girondelvincent humanbodyanalysissystem AT bonnaudlaurent humanbodyanalysissystem AT caplieralice humanbodyanalysissystem |