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author:

Bai, Yunmiao (Bai, Yunmiao.) [1] | Gao, Yutong (Gao, Yutong.) [2]

Indexed by:

EI Scopus

Abstract:

With the rapid development of Internet of Things (IoT) and edge computing, a lot of edge devices are connected into the network, including the cameras that are used and applied in many scenarios, for example, the indoor environment. Now, in order to solve the problem of fast location of object indoors with low cost, the monocular vision based object location method is proposed in this paper. First of all, the pixel coordinates of the objects are obtained by target matching, and then the area of the object on the captured image is calculated for rough matching. Finally, the precise coordinates of the objects to be located are obtained through their center values and recognized by the fine matching. Experimental results indicate that the proposed method has better performance. © World Scientific Publishing Company.

Keyword:

Binoculars Image matching

Community:

  • [ 1 ] [Bai, Yunmiao]Fuzhou University, 2 Xue Yuan Road University Town, Fujian Province Fuzhou, Fuzhou; 350108, China
  • [ 2 ] [Gao, Yutong]Fuzhou University, 2 Xue Yuan Road University Town, Fujian Province Fuzhou, Fuzhou; 350108, China

Reprint 's Address:

  • [bai, yunmiao]fuzhou university, 2 xue yuan road university town, fujian province fuzhou, fuzhou; 350108, china;;

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Source :

International Journal of Modeling, Simulation, and Scientific Computing

ISSN: 1793-9623

Year: 2025

Issue: 1

Volume: 16

0 . 9 0 0

JCR@2023

CAS Journal Grade:4

Cited Count:

WoS CC Cited Count:

SCOPUS Cited Count:

ESI Highly Cited Papers on the List: 0 Unfold All

WanFang Cited Count:

Chinese Cited Count:

30 Days PV: 0

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