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

A homography-based multiple-camera p...

Rochester Institute of Technology., Imaging Science.

FindBook

Google Book

Amazon

博客來

A homography-based multiple-camera person-tracking algorithm.

紀錄類型:	書目-電子資源 : Monograph/item
正題名/作者:	A homography-based multiple-camera person-tracking algorithm./
作者:	Turk, Matthew Robert.
面頁冊數:	134 p.
附註:	Adviser: Eli Saber.
Contained By:	Masters Abstracts International47-01.
標題:	Engineering, Electronics and Electrical. -
電子資源:	http://pqdd.sinica.edu.tw/twdaoapp/servlet/advanced?query=1454192
ISBN:	9780549639503

A homography-based multiple-camera person-tracking algorithm.
Turk, Matthew Robert.

A homography-based multiple-camera person-tracking algorithm. - 134 p.

Adviser: Eli Saber.

Thesis (M.S.)--Rochester Institute of Technology, 2008.

All of these products require solving the consistent labelling problem. This means giving the same meta-target tracking label to all projections of a real-world target in the various cameras.

ISBN: 9780549639503Subjects--Topical Terms:

626636
Engineering, Electronics and Electrical.

A homography-based multiple-camera person-tracking algorithm.
LDR:02515nmm 2200337 a 45 001 886387
005 20101007
008 101007s2008 ||||||||||||||||| ||eng d
020 $a 9780549639503
035 $a (UMI)AAI1454192
035 $a AAI1454192
040 $a UMI $c UMI
100 1 $a Turk, Matthew Robert. $3 1058080
245 1 2 $a A homography-based multiple-camera person-tracking algorithm.
300 $a 134 p.
500 $a Adviser: Eli Saber.
500 $a Source: Masters Abstracts International, Volume: 47-01, page: 0517.
502 $a Thesis (M.S.)--Rochester Institute of Technology, 2008.
520 $a All of these products require solving the consistent labelling problem. This means giving the same meta-target tracking label to all projections of a real-world target in the various cameras.
520 $a It is easy to install multiple inexpensive video surveillance cameras around an area. However, multiple-camera tracking is still a developing field. Surveillance products that can be produced with multiple video cameras include camera cueing, wide-area traffic analysis, tracking in the presence of occlusions, and tracking with in-scene entrances.
520 $a This thesis covers the implementation and testing of a multiple-camera people-tracking algorithm. First, a shape-matching single-camera tracking algorithm was partially re-implemented so that it worked on test videos. The outputs of the single-camera trackers are the inputs of the multiple-camera tracker. The algorithm finds the feet feature of each target: a pixel corresponding to a point on a ground plane directly below the target. Field of view lines are found and used to create initial meta-target associations. Meta-targets then drop a series of markers as they move, and from these a homography is calculated. The homography-based tracker then refines the list of meta-targets and creates new meta-targets as required.
520 $a Testing shows that the algorithm solves the consistent labelling problem and requires few edge events as part of the learning process. The homography-based matcher was shown to completely overcome partial and full target occlusions in one of a pair of cameras.
590 $a School code: 0465.
650 4 $a Engineering, Electronics and Electrical. $3 626636
650 4 $a Remote Sensing. $3 1018559
690 $a 0544
690 $a 0799
710 2 $a Rochester Institute of Technology. $b Imaging Science. $3 1019498
773 0 $t Masters Abstracts International $g 47-01.
790 $a 0465
790 1 0 $a Dianat, Sohail $e committee member
790 1 0 $a Rhody, Harvey $e committee member
790 1 0 $a Saber, Eli, $e advisor
791 $a M.S.
792 $a 2008
856 4 0 $u http://pqdd.sinica.edu.tw/twdaoapp/servlet/advanced?query=1454192