Calibration of Audio-Video Sensors for Multi-Modal Event Indexing
This paper addresses the coordinated use of video and audio cues to capture and index surveillance events with multimodal labels. The focus of this paper is the development of a joint-sensor calibration technique that uses audio-visual observations to improve the calibration process. One significant...
| Main Authors: | , , |
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| Other Authors: | |
| Format: | Conference Paper |
| Published: |
IEEE Computer Society Conference Publishing Services
2007
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| Online Access: | http://hdl.handle.net/20.500.11937/15654 |
| _version_ | 1848748952553259008 |
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| author | Kϋhnapfel, Thorsten Tan, Tele Venkatesh, Svetha |
| author2 | IEEE Signal Proeccessing Society |
| author_facet | IEEE Signal Proeccessing Society Kϋhnapfel, Thorsten Tan, Tele Venkatesh, Svetha |
| author_sort | Kϋhnapfel, Thorsten |
| building | Curtin Institutional Repository |
| collection | Online Access |
| description | This paper addresses the coordinated use of video and audio cues to capture and index surveillance events with multimodal labels. The focus of this paper is the development of a joint-sensor calibration technique that uses audio-visual observations to improve the calibration process. One significant feature of this approach is the ability to continuously check and update the calibration status of the sensor suite, making it resilient to independent drift in the individual sensors. We present scenarios in which this system is used to enhance surveillance. |
| first_indexed | 2025-11-14T07:13:13Z |
| format | Conference Paper |
| id | curtin-20.500.11937-15654 |
| institution | Curtin University Malaysia |
| institution_category | Local University |
| last_indexed | 2025-11-14T07:13:13Z |
| publishDate | 2007 |
| publisher | IEEE Computer Society Conference Publishing Services |
| recordtype | eprints |
| repository_type | Digital Repository |
| spelling | curtin-20.500.11937-156542018-03-29T09:07:23Z Calibration of Audio-Video Sensors for Multi-Modal Event Indexing Kϋhnapfel, Thorsten Tan, Tele Venkatesh, Svetha IEEE Signal Proeccessing Society This paper addresses the coordinated use of video and audio cues to capture and index surveillance events with multimodal labels. The focus of this paper is the development of a joint-sensor calibration technique that uses audio-visual observations to improve the calibration process. One significant feature of this approach is the ability to continuously check and update the calibration status of the sensor suite, making it resilient to independent drift in the individual sensors. We present scenarios in which this system is used to enhance surveillance. 2007 Conference Paper http://hdl.handle.net/20.500.11937/15654 10.1109/ICASSP.2007.366342 IEEE Computer Society Conference Publishing Services restricted |
| spellingShingle | Kϋhnapfel, Thorsten Tan, Tele Venkatesh, Svetha Calibration of Audio-Video Sensors for Multi-Modal Event Indexing |
| title | Calibration of Audio-Video Sensors for Multi-Modal Event Indexing |
| title_full | Calibration of Audio-Video Sensors for Multi-Modal Event Indexing |
| title_fullStr | Calibration of Audio-Video Sensors for Multi-Modal Event Indexing |
| title_full_unstemmed | Calibration of Audio-Video Sensors for Multi-Modal Event Indexing |
| title_short | Calibration of Audio-Video Sensors for Multi-Modal Event Indexing |
| title_sort | calibration of audio-video sensors for multi-modal event indexing |
| url | http://hdl.handle.net/20.500.11937/15654 |