The para-normal Bayes multi-target filter and the spooky effect
The Probability Hypothesis Density (PHD) and Cardinalized PHD (CPHD) filters exhibit a counter intuitive behaviour called the ”spooky effect” where upon a missed detection, the PHD mass in the vicinity of the undetected target is shifted to the vicinity of the detected targets, regardless of the dis...
| Main Authors: | , |
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| Other Authors: | |
| Format: | Conference Paper |
| Published: |
IEEE
2012
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| Online Access: | http://hdl.handle.net/20.500.11937/6222 |
| _version_ | 1848745014240215040 |
|---|---|
| author | Vo, Ba Tuong Vo, Ba-Ngu |
| author2 | Gee Wah NG |
| author_facet | Gee Wah NG Vo, Ba Tuong Vo, Ba-Ngu |
| author_sort | Vo, Ba Tuong |
| building | Curtin Institutional Repository |
| collection | Online Access |
| description | The Probability Hypothesis Density (PHD) and Cardinalized PHD (CPHD) filters exhibit a counter intuitive behaviour called the ”spooky effect” where upon a missed detection, the PHD mass in the vicinity of the undetected target is shifted to the vicinity of the detected targets, regardless of the distance between the targets. This raises the question of whether spookiness is an artifact of the random finite set formulation of the multi-target filtering problem. Using a para-normal implementation of the labeled multi-target Bayes filter, we show that this filter does not exhibit the “spooky effect” observed in the PHD/CPHD filters. |
| first_indexed | 2025-11-14T06:10:37Z |
| format | Conference Paper |
| id | curtin-20.500.11937-6222 |
| institution | Curtin University Malaysia |
| institution_category | Local University |
| last_indexed | 2025-11-14T06:10:37Z |
| publishDate | 2012 |
| publisher | IEEE |
| recordtype | eprints |
| repository_type | Digital Repository |
| spelling | curtin-20.500.11937-62222017-01-30T10:51:24Z The para-normal Bayes multi-target filter and the spooky effect Vo, Ba Tuong Vo, Ba-Ngu Gee Wah NG The Probability Hypothesis Density (PHD) and Cardinalized PHD (CPHD) filters exhibit a counter intuitive behaviour called the ”spooky effect” where upon a missed detection, the PHD mass in the vicinity of the undetected target is shifted to the vicinity of the detected targets, regardless of the distance between the targets. This raises the question of whether spookiness is an artifact of the random finite set formulation of the multi-target filtering problem. Using a para-normal implementation of the labeled multi-target Bayes filter, we show that this filter does not exhibit the “spooky effect” observed in the PHD/CPHD filters. 2012 Conference Paper http://hdl.handle.net/20.500.11937/6222 IEEE restricted |
| spellingShingle | Vo, Ba Tuong Vo, Ba-Ngu The para-normal Bayes multi-target filter and the spooky effect |
| title | The para-normal Bayes multi-target filter and the spooky effect |
| title_full | The para-normal Bayes multi-target filter and the spooky effect |
| title_fullStr | The para-normal Bayes multi-target filter and the spooky effect |
| title_full_unstemmed | The para-normal Bayes multi-target filter and the spooky effect |
| title_short | The para-normal Bayes multi-target filter and the spooky effect |
| title_sort | para-normal bayes multi-target filter and the spooky effect |
| url | http://hdl.handle.net/20.500.11937/6222 |