Reply to "Comments on 'Joint Detection and Estimation of Multiple Objects from Image Observations'"
In this paper we present three theoretical results on conjugate priors for point processes (or random finite sets), namely Poisson, i.i.d. cluster, and multi-Bernoulli. As an example of the use of these results, the multi-Bernoulli conjugate prior was applied to multi-object filtering for image data...
| Main Authors: | , , , |
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| Format: | Journal Article |
| Published: |
IEEE
2012
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| Online Access: | http://hdl.handle.net/20.500.11937/27587 |
| _version_ | 1848752305281695744 |
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| author | Vo, Ba-Ngu Vo, Ba Tuong Pham, N. Suter, D. |
| author_facet | Vo, Ba-Ngu Vo, Ba Tuong Pham, N. Suter, D. |
| author_sort | Vo, Ba-Ngu |
| building | Curtin Institutional Repository |
| collection | Online Access |
| description | In this paper we present three theoretical results on conjugate priors for point processes (or random finite sets), namely Poisson, i.i.d. cluster, and multi-Bernoulli. As an example of the use of these results, the multi-Bernoulli conjugate prior was applied to multi-object filtering for image data, which covers various tracking problems, including track before-detect (TkBD). Davey's comments only concern our implementation of the HPMHT algorithm used to benchmark the performance of the multi-Bernoulli filter in a numerical example involving TkBD. |
| first_indexed | 2025-11-14T08:06:30Z |
| format | Journal Article |
| id | curtin-20.500.11937-27587 |
| institution | Curtin University Malaysia |
| institution_category | Local University |
| last_indexed | 2025-11-14T08:06:30Z |
| publishDate | 2012 |
| publisher | IEEE |
| recordtype | eprints |
| repository_type | Digital Repository |
| spelling | curtin-20.500.11937-275872017-09-13T15:07:14Z Reply to "Comments on 'Joint Detection and Estimation of Multiple Objects from Image Observations'" Vo, Ba-Ngu Vo, Ba Tuong Pham, N. Suter, D. In this paper we present three theoretical results on conjugate priors for point processes (or random finite sets), namely Poisson, i.i.d. cluster, and multi-Bernoulli. As an example of the use of these results, the multi-Bernoulli conjugate prior was applied to multi-object filtering for image data, which covers various tracking problems, including track before-detect (TkBD). Davey's comments only concern our implementation of the HPMHT algorithm used to benchmark the performance of the multi-Bernoulli filter in a numerical example involving TkBD. 2012 Journal Article http://hdl.handle.net/20.500.11937/27587 10.1109/TSP.2011.2173686 IEEE restricted |
| spellingShingle | Vo, Ba-Ngu Vo, Ba Tuong Pham, N. Suter, D. Reply to "Comments on 'Joint Detection and Estimation of Multiple Objects from Image Observations'" |
| title | Reply to "Comments on 'Joint Detection and Estimation of Multiple Objects from Image Observations'" |
| title_full | Reply to "Comments on 'Joint Detection and Estimation of Multiple Objects from Image Observations'" |
| title_fullStr | Reply to "Comments on 'Joint Detection and Estimation of Multiple Objects from Image Observations'" |
| title_full_unstemmed | Reply to "Comments on 'Joint Detection and Estimation of Multiple Objects from Image Observations'" |
| title_short | Reply to "Comments on 'Joint Detection and Estimation of Multiple Objects from Image Observations'" |
| title_sort | reply to "comments on 'joint detection and estimation of multiple objects from image observations'" |
| url | http://hdl.handle.net/20.500.11937/27587 |