國立高雄大學圖資館 |

Language: English

Back

Object tracking technologytrends, challenges and applications /

Record Type:	Electronic resources : Monograph/item
Title/Author:	Object tracking technologyedited by Ashish Kumar ... [et al.].
Reminder of title:	trends, challenges and applications /
other author:	Kumar, Ashish.
Published:	Singapore :Springer Nature Singapore :2023.
Description:	xiv, 274 p. :ill., digital ;24 cm.
Contained By:	Springer Nature eBook
Subject:	Computer vision.
Online resource:	https://doi.org/10.1007/978-981-99-3288-7
ISBN:	9789819932887$q(electronic bk.)

Object tracking technologytrends, challenges and applications /
Object tracking technologytrends, challenges and applications /[electronic resource] :edited by Ashish Kumar ... [et al.]. - Singapore :Springer Nature Singapore :2023. - xiv, 274 p. :ill., digital ;24 cm. - Contributions to environmental sciences & innovative business technology,2731-8311. - Contributions to environmental sciences & innovative business technology..

Single Object Detection from Video Streaming -- Different Approaches to Background Subtraction and Object Tracking in Video Streams: A Review -- Auto Alignment of Tanker Loading Arm Utilizing Stereo-Vision Video and 3D Euclidean Scene Reconstruction -- Visual Object Segmentation Improvement using Deep Convolutional Neural Networks -- Applications of Deep Learning based Methods on Surveillance Video Stream by Tracking Various Suspicious Activities -- Hardware Design Aspects of Visual Tracking System -- Automatic Helmet (Object) Detection and Tracking the Riders using Kalman Filter Technique -- Deep Learning based Multi-Object Tracking -- Multiple Object Tracking of Autonomous Vehicles for Sustainable and Smart Cities -- Multi Object Detection: A Social Distancing Monitoring System -- Investigating Two Stage Detection Methods Using Traffic Light Detection Dataset.

ISBN: 9789819932887$q(electronic bk.)

Standard No.: 10.1007/978-981-99-3288-7doiSubjects--Topical Terms:

200113
Computer vision.

LC Class. No.: TA1634

Dewey Class. No.: 006.37

Object tracking technologytrends, challenges and applications /
LDR:02006nmm a2200349 a 4500 001 651137
003 DE-He213
005 20230925174806.0
006 m d
007 cr nn 008maaau
008 240327s2023 si s 0 eng d
020 $a 9789819932887$q(electronic bk.)
020 $a 9789819932870$q(paper)
024 7 $a 10.1007/978-981-99-3288-7 $2 doi
035 $a 978-981-99-3288-7
040 $a GP $c GP
041 0 $a eng
050 4 $a TA1634
072 7 $a TJF $2 bicssc
072 7 $a UYT $2 bicssc
072 7 $a COM016000 $2 bisacsh
072 7 $a TJF $2 thema
072 7 $a UYT $2 thema
082 0 4 $a 006.37 $2 23
090 $a TA1634 $b .O12 2023
245 0 0 $a Object tracking technology $h [electronic resource] : $b trends, challenges and applications / $c edited by Ashish Kumar ... [et al.].
260 $a Singapore : $b Springer Nature Singapore : $b Imprint: Springer, $c 2023.
300 $a xiv, 274 p. : $b ill., digital ; $c 24 cm.
490 1 $a Contributions to environmental sciences & innovative business technology, $x 2731-8311
505 0 $a Single Object Detection from Video Streaming -- Different Approaches to Background Subtraction and Object Tracking in Video Streams: A Review -- Auto Alignment of Tanker Loading Arm Utilizing Stereo-Vision Video and 3D Euclidean Scene Reconstruction -- Visual Object Segmentation Improvement using Deep Convolutional Neural Networks -- Applications of Deep Learning based Methods on Surveillance Video Stream by Tracking Various Suspicious Activities -- Hardware Design Aspects of Visual Tracking System -- Automatic Helmet (Object) Detection and Tracking the Riders using Kalman Filter Technique -- Deep Learning based Multi-Object Tracking -- Multiple Object Tracking of Autonomous Vehicles for Sustainable and Smart Cities -- Multi Object Detection: A Social Distancing Monitoring System -- Investigating Two Stage Detection Methods Using Traffic Light Detection Dataset.
650 0 $a Computer vision. $3 200113
650 1 4 $a Image Processing. $3 273705
650 2 4 $a Computer Imaging, Vision, Pattern Recognition and Graphics. $3 274492
650 2 4 $a Machine Learning. $3 833608
700 1 $a Kumar, Ashish. $3 953824
710 2 $a SpringerLink (Online service) $3 273601
773 0 $t Springer Nature eBook
830 0 $a Contributions to environmental sciences & innovative business technology. $3 946266
856 4 0 $u https://doi.org/10.1007/978-981-99-3288-7
950 $a Computer Science (SpringerNature-11645)