<abstract xmlns="http://www.w3.org/1999/xhtml">

<p>As security is one of the basic human needs, we need security systems that can prevent crimes from happening. In general, surveillance videos are used to observe the environment and human behavior in a given location. However, surveillance videos can only be used to record images or videos, without additional information. Therefore, more advanced cameras are needed to obtain other additional information such as the position and movement of people. This research extracted this information from surveillance video footage using a person tracking, detection, and identification algorithm. The framework for these is based on deep learning algorithms, a popular branch of artificial intelligence. In the field of video surveillance, person tracking is considered a challenging task. Many computer vision, machine learning, and deep learning techniques have been developed in recent years. The majority of these techniques are based on frontal view images or video sequences. In this work, we will compare some previous work related to the same topic.</p>
</abstract>

As security is one of the basic human needs, we need security systems that can prevent crimes from happening. In general, surveillance videos are used to observe the environment and human behavior in a given location. However, surveillance videos can only be used to record images or videos, without additional information. Therefore, more advanced cameras are needed to obtain other additional information such as the position and movement of people. This research extracted this information from surveillance video footage using a person tracking, detection, and identification algorithm. The framework for these is based on deep learning algorithms, a popular branch of artificial intelligence. In the field of video surveillance, person tracking is considered a challenging task. Many computer vision, machine learning, and deep learning techniques have been developed in recent years. The majority of these techniques are based on frontal view images or video sequences. In this work, we will compare some previous work related to the same topic.

People Tracking in Video Surveillance Systems Based on Artificial Intelligence

Journal of Automation, Mobile Robotics and Intelligent Systems

This work is licensed under the Creative Commons Attribution-NonCommercial-NoDerivatives 4.0 International License.

{"article-title":"People Tracking in Video Surveillance Systems Based on Artificial Intelligence"}

As security is one of the basic human needs, we need security systems that can prevent crimes from happening. In general, surveillance videos are used to...

People Tracking in Video Surveillance Systems Based on Artificial Intelligence

Online veröffentlicht: 26. Dez. 2023

Seitenbereich: 59 - 68

Eingereicht: 15. Okt. 2022

Akzeptiert: 02. Jan. 2023

DOI: https://doi.org/10.14313/jamris/1-2023/8

Schlüsselwörter
Person tracking, Person detection, Person identification, Video surveillance, Artificial intelligence

© 2023 Abir Nasry et al., published by Sciendo

This work is licensed under the Creative Commons Attribution-NonCommercial-NoDerivatives 4.0 International License.

People Tracking in Video Surveillance Systems Based on Artificial Intelligence

Online veröffentlicht: 26. Dez. 2023

Seitenbereich: 59 - 68

Eingereicht: 15. Okt. 2022

Akzeptiert: 02. Jan. 2023

DOI: https://doi.org/10.14313/jamris/1-2023/8

SchlüsselwörterPerson tracking, Person detection, Person identification, Video surveillance, Artificial intelligence

© 2023 Abir Nasry et al., published by Sciendo

This work is licensed under the Creative Commons Attribution-NonCommercial-NoDerivatives 4.0 International License.

Schlüsselwörter
Person tracking, Person detection, Person identification, Video surveillance, Artificial intelligence