東華大學圖書館 |

語系: 繁體中文

說明(常見問題)

回圖書館首頁

手機版館藏查詢

登入

回首頁

切換: 標籤 | MARC模式 | ISBD

Track-before-detect using expectatio...

Davey, Samuel J.

FindBook

Google Book

Amazon

博客來

Track-before-detect using expectation maximisation = the histogram probabilistic multi-hypothesis tracker: theory and applications /

紀錄類型:	書目-電子資源 : Monograph/item
正題名/作者:	Track-before-detect using expectation maximisation/ by Samuel J. Davey, Han X. Gaetjens.
其他題名:	the histogram probabilistic multi-hypothesis tracker: theory and applications /
作者:	Davey, Samuel J.
其他作者:	Gaetjens, Han X.
出版者:	Singapore :Springer Singapore : : 2018.,
面頁冊數:	xxi, 352 p. :ill. (some col.), digital ;24 cm.
內容註:	Foreword -- Introduction -- Idealised Track-Before-Detect -- Point Measurement Probabilistic Multi-Hypothesis Tracking -- Histogram ProbabilisticMulti-Hypothesis Tracking -- Implementation Considerations -- Poisson Scattering Field -- Non-linear Non-Gaussian Targets -- Adaptive Appearance Models -- H-PMHT with Attribute Data -- Radar and Sonar Track-Before-Detect -- Tracking in Full Motion Video -- Related Methods -- Summary and Prognostications.
Contained By:	Springer eBooks
標題:	Gaussian measures. -
電子資源:	http://dx.doi.org/10.1007/978-981-10-7593-3
ISBN:	9789811075933

Track-before-detect using expectation maximisation = the histogram probabilistic multi-hypothesis tracker: theory and applications /
Davey, Samuel J.

Track-before-detect using expectation maximisationthe histogram probabilistic multi-hypothesis tracker: theory and applications /[electronic resource] :by Samuel J. Davey, Han X. Gaetjens. - Singapore :Springer Singapore :2018. - xxi, 352 p. :ill. (some col.), digital ;24 cm. - Signals and communication technology,1860-4862. - Signals and communication technology..

Foreword -- Introduction -- Idealised Track-Before-Detect -- Point Measurement Probabilistic Multi-Hypothesis Tracking -- Histogram ProbabilisticMulti-Hypothesis Tracking -- Implementation Considerations -- Poisson Scattering Field -- Non-linear Non-Gaussian Targets -- Adaptive Appearance Models -- H-PMHT with Attribute Data -- Radar and Sonar Track-Before-Detect -- Tracking in Full Motion Video -- Related Methods -- Summary and Prognostications.

This book offers a detailed description of the histogram probabilistic multi-hypothesis tracker (H-PMHT), providing an accessible and intuitive introduction to the mathematical mechanics of H-PMHT as well as a definitive reference source for the existing literature on the method. Beginning with basic concepts, the authors then move on to address extensions of the method to a broad class of tracking problems. The latter chapters present applications using recorded data from experimental radar, sonar and video sensor systems. The book is supplemented with software that both furthers readers' understanding and acts as a toolkit for those who wish to apply the methods to their own problems.

ISBN: 9789811075933

Standard No.: 10.1007/978-981-10-7593-3doiSubjects--Topical Terms:

672950
Gaussian measures.

LC Class. No.: QA312

Dewey Class. No.: 519.23

Track-before-detect using expectation maximisation = the histogram probabilistic multi-hypothesis tracker: theory and applications /
LDR:02302nmm a2200349 a 4500 001 2133996
003 DE-He213
005 20180208173101.0
006 m d
007 cr nn 008maaau
008 181005s2018 si s 0 eng d
020 $a 9789811075933 $q (electronic bk.)
020 $a 9789811075926 $q (paper)
024 7 $a 10.1007/978-981-10-7593-3 $2 doi
035 $a 978-981-10-7593-3
040 $a GP $c GP
041 0 $a eng
050 4 $a QA312
072 7 $a TTBM $2 bicssc
072 7 $a UYS $2 bicssc
072 7 $a TEC008000 $2 bisacsh
072 7 $a COM073000 $2 bisacsh
082 0 4 $a 519.23 $2 23
090 $a QA312 $b .D248 2018
100 1 $a Davey, Samuel J. $3 3302014
245 1 0 $a Track-before-detect using expectation maximisation $h [electronic resource] : $b the histogram probabilistic multi-hypothesis tracker: theory and applications / $c by Samuel J. Davey, Han X. Gaetjens.
260 $a Singapore : $b Springer Singapore : $b Imprint: Springer, $c 2018.
300 $a xxi, 352 p. : $b ill. (some col.), digital ; $c 24 cm.
490 1 $a Signals and communication technology, $x 1860-4862
505 0 $a Foreword -- Introduction -- Idealised Track-Before-Detect -- Point Measurement Probabilistic Multi-Hypothesis Tracking -- Histogram ProbabilisticMulti-Hypothesis Tracking -- Implementation Considerations -- Poisson Scattering Field -- Non-linear Non-Gaussian Targets -- Adaptive Appearance Models -- H-PMHT with Attribute Data -- Radar and Sonar Track-Before-Detect -- Tracking in Full Motion Video -- Related Methods -- Summary and Prognostications.
520 $a This book offers a detailed description of the histogram probabilistic multi-hypothesis tracker (H-PMHT), providing an accessible and intuitive introduction to the mathematical mechanics of H-PMHT as well as a definitive reference source for the existing literature on the method. Beginning with basic concepts, the authors then move on to address extensions of the method to a broad class of tracking problems. The latter chapters present applications using recorded data from experimental radar, sonar and video sensor systems. The book is supplemented with software that both furthers readers' understanding and acts as a toolkit for those who wish to apply the methods to their own problems.
650 0 $a Gaussian measures. $3 672950
650 1 4 $a Engineering. $3 586835
650 2 4 $a Signal, Image and Speech Processing. $3 891073
650 2 4 $a Image Processing and Computer Vision. $3 891070
650 2 4 $a Computational Science and Engineering. $3 893018
650 2 4 $a Computational Intelligence. $3 1001631
700 1 $a Gaetjens, Han X. $3 3302015
710 2 $a SpringerLink (Online service) $3 836513
773 0 $t Springer eBooks
830 0 $a Signals and communication technology. $3 1565543
856 4 0 $u http://dx.doi.org/10.1007/978-981-10-7593-3
950 $a Engineering (Springer-11647)