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Reseach Article

A Mechanism on Video Tracking and Recognition with Fast Transmission in Wireless Communications

by Jianjun Yang, Mingyuan Yan, Abi Salimi, Jason Porter, Ying Luo, Ju Shen
International Journal of Computer Applications
Foundation of Computer Science (FCS), NY, USA
Volume 185 - Number 14
Year of Publication: 2023
Authors: Jianjun Yang, Mingyuan Yan, Abi Salimi, Jason Porter, Ying Luo, Ju Shen
10.5120/ijca2023922816

Jianjun Yang, Mingyuan Yan, Abi Salimi, Jason Porter, Ying Luo, Ju Shen . A Mechanism on Video Tracking and Recognition with Fast Transmission in Wireless Communications. International Journal of Computer Applications. 185, 14 ( Jun 2023), 1-8. DOI=10.5120/ijca2023922816

@article{ 10.5120/ijca2023922816,
author = { Jianjun Yang, Mingyuan Yan, Abi Salimi, Jason Porter, Ying Luo, Ju Shen },
title = { A Mechanism on Video Tracking and Recognition with Fast Transmission in Wireless Communications },
journal = { International Journal of Computer Applications },
issue_date = { Jun 2023 },
volume = { 185 },
number = { 14 },
month = { Jun },
year = { 2023 },
issn = { 0975-8887 },
pages = { 1-8 },
numpages = {9},
url = { https://ijcaonline.org/archives/volume185/number14/32761-2023922816/ },
doi = { 10.5120/ijca2023922816 },
publisher = {Foundation of Computer Science (FCS), NY, USA},
address = {New York, USA}
}
%0 Journal Article
%1 2024-02-07T01:26:01.581045+05:30
%A Jianjun Yang
%A Mingyuan Yan
%A Abi Salimi
%A Jason Porter
%A Ying Luo
%A Ju Shen
%T A Mechanism on Video Tracking and Recognition with Fast Transmission in Wireless Communications
%J International Journal of Computer Applications
%@ 0975-8887
%V 185
%N 14
%P 1-8
%D 2023
%I Foundation of Computer Science (FCS), NY, USA
Abstract

In recent years, video-based object tracking and recognition have become critical research areas in computer vision and network communication systems. This paper proposes a novel method for video-based object tracking and recognition over fast network transmission using newly developed improved CAMSHIFT and Meanshift algorithms. The new mechanism is not only applies to single object tracking and recognition, but also to multiple objects and objects with motion. The proposed system also utilizes a wireless network to transmit video streams from remote devices to a central server where the tracking and recognition processes take place. The developed approach has several advantages, including the ability to track objects in real-time over wireless networks with low latency and high reliability. The proposed system can be applied in various applications, such as security surveillance, traffic monitoring, and human-computer interaction. In addition, an efficient and effective implementation is designed utilizing a wireless network to transmit video streams where the tracking and recognition processes take place.

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Index Terms

Computer Science
Information Sciences

Keywords

Tracking Recognition Transmission Object tracking Probability density function Object detection Video Tracking Recognition Wireless Sensor Network Fast Transmission