# Knowledge Development Trajectories of Intelligent Video Surveillance Domain: An Academic Study Based on Citation and Main Path Analysis

**Authors:** Fei-Lung Huang, Kai-Ying Chen, Wei-Hao Su

PMC · DOI: 10.3390/s24072240 · Sensors (Basel, Switzerland) · 2024-03-31

## TL;DR

This study explores the development trends in intelligent video surveillance research using citation and main path analysis to identify key topics and future directions.

## Contribution

The novelty lies in using main path analysis and clustering to identify six major research topics in IVS and predicting future trends.

## Key findings

- Six major IVS research topics were identified: video cameras, background modeling, closed-circuit television, multiple cameras, person re-identification, and privacy, security, and protection.
- Cluster analysis and keyword visualization revealed the evolution and focus areas of IVS research.
- The study provides predictions for future IVS research directions to support smart city and transportation applications.

## Abstract

Smart city is an area where the Internet of things is used effectively with sensors. The data used by smart city can be collected through the cameras, sensors etc. Intelligent video surveillance (IVS) systems integrate multiple networked cameras for automatic surveillance purposes. Such systems can analyze and monitor video data and perform automatic functions required by users. This study performed main path analysis (MPA) to explore the development trends of IVS research. First, relevant articles were retrieved from the Web of Science database. Next, MPA was performed to analyze development trends in relevant research, and g-index and h-index values were analyzed to identify influential journals. Cluster analysis was then performed to group similar articles, and Wordle was used to display the key words of each group in word clouds. These key words served as the basis for naming their corresponding groups. Data mining and statistical analysis yielded six major IVS research topics, namely video cameras, background modeling, closed-circuit television, multiple cameras, person reidentification, and privacy, security, and protection. These topics can boost the future innovation and development of IVS technology and contribute to smart transportation, smart city, and other applications. According to the study results, predictions were made regarding developments in IVS research to provide recommendations for future research.

## Full-text entities

- **Diseases:** injury to people or property (MESH:C000719191), COVID-19 (MESH:D000086382), MPA (MESH:D003324), patent rights abuse (MESH:D019966), IVS (MESH:C538142), IVS in Person Reidentification (MESH:D010554), violent (MESH:D001523)
- **Chemicals:** CCTV (-), acid (MESH:D000143)
- **Species:** Homo sapiens (human, species) [taxon 9606]

## Full text

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## Figures

24 figures with captions in the complete paper: https://tomesphere.com/paper/PMC11014039/full.md

## References

92 references — full list in the complete paper: https://tomesphere.com/paper/PMC11014039/full.md

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Source: https://tomesphere.com/paper/PMC11014039