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Real-Time Pose Based Human Detection...

University of Maryland, College Park.

Real-Time Pose Based Human Detection and Re-identification with a Single Camera for Robot Person Following.

紀錄類型:	書目-語言資料,手稿 : Monograph/item
正題名/作者:	Real-Time Pose Based Human Detection and Re-identification with a Single Camera for Robot Person Following./
作者:	Welsh, John Bradford.
面頁冊數:	1 online resource (67 pages)
附註:	Source: Masters Abstracts International, Volume: 56-05.
Contained By:	Masters Abstracts International56-05(E).
標題:	Electrical engineering. -
電子資源:	click for full text (PQDT)
ISBN:	9780355063509

Real-Time Pose Based Human Detection and Re-identification with a Single Camera for Robot Person Following.
Welsh, John Bradford.

Real-Time Pose Based Human Detection and Re-identification with a Single Camera for Robot Person Following. - 1 online resource (67 pages)

Source: Masters Abstracts International, Volume: 56-05.

Thesis (M.S.)--University of Maryland, College Park, 2017.

Includes bibliographical references

In this work we address the challenge of following a person with a mobile robot, with a focus on the image processing aspect. We overview different historical approaches for person following and outline the advantages and disadvantages of each. We then show that recent convolutional neural networks trained for human pose detection are suitable for person detection as it relates to the robot following problem. We extend one such pose detection network to spatially embed the identity of individuals in the image, utilizing the pose features already computed. The proposed identity embedding allows the system to robustly track individuals in consecutive frames even in long term occlusion or absence. The final system provides a robust person tracking scheme which is suitable for person following.

Electronic reproduction.
Ann Arbor, Mich. :
ProQuest,
2018

Mode of access: World Wide Web

ISBN: 9780355063509Subjects--Topical Terms:

596380
Electrical engineering.
Index Terms--Genre/Form:

554714
Electronic books.

Real-Time Pose Based Human Detection and Re-identification with a Single Camera for Robot Person Following.
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100 1 $a Welsh, John Bradford. $3 1194180
245 1 0 $a Real-Time Pose Based Human Detection and Re-identification with a Single Camera for Robot Person Following.
264 0 $c 2017
300 $a 1 online resource (67 pages)
336 $a text $b txt $2 rdacontent
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338 $a online resource $b cr $2 rdacarrier
500 $a Source: Masters Abstracts International, Volume: 56-05.
500 $a Adviser: Gilmer Blankenship.
502 $a Thesis (M.S.)--University of Maryland, College Park, 2017.
504 $a Includes bibliographical references
520 $a In this work we address the challenge of following a person with a mobile robot, with a focus on the image processing aspect. We overview different historical approaches for person following and outline the advantages and disadvantages of each. We then show that recent convolutional neural networks trained for human pose detection are suitable for person detection as it relates to the robot following problem. We extend one such pose detection network to spatially embed the identity of individuals in the image, utilizing the pose features already computed. The proposed identity embedding allows the system to robustly track individuals in consecutive frames even in long term occlusion or absence. The final system provides a robust person tracking scheme which is suitable for person following.
533 $a Electronic reproduction. $b Ann Arbor, Mich. : $c ProQuest, $d 2018
538 $a Mode of access: World Wide Web
650 4 $a Electrical engineering. $3 596380
655 7 $a Electronic books. $2 local $3 554714
690 $a 0544
710 2 $a ProQuest Information and Learning Co. $3 1178819
710 2 $a University of Maryland, College Park. $b Electrical Engineering. $3 845418
773 0 $t Masters Abstracts International $g 56-05(E).
856 4 0 $u http://pqdd.sinica.edu.tw/twdaoapp/servlet/advanced?query=10274047 $z click for full text (PQDT)

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