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

<p>Key point detection is still a challenging issue in pattern recognition. With the recent developments on complex network theory, pattern recognition techniques based on graphs have improved considerably. Key point detection can be approached by community identification in directed complex network because image is related with network model. This paper presents a complex network approach for key point detection in video monitoring image, which is both accurate <italic>and fast. We evaluate our method for square and subway</italic> station video monitoring images. Results show that our algorithm can outperform other traditional method both in accuracy and processing times.</p>
</abstract>

Key point detection is still a challenging issue in pattern recognition. With the recent developments on complex network theory, pattern recognition techniques based on graphs have improved considerably. Key point detection can be approached by community identification in directed complex network because image is related with network model. This paper presents a complex network approach for key point detection in video monitoring image, which is both accurate and fast. We evaluate our method for square and subway station video monitoring images. Results show that our algorithm can outperform other traditional method both in accuracy and processing times.

Key Point Detection in Images Based on Triangle Distribution of Directed Complex Network

International Journal of Advanced Network, Monitoring and Controls

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

Key point detection is still a challenging issue in pattern recognition. With the recent developments on complex network theory, pattern recognition techniques...

Key Point Detection in Images Based on Triangle Distribution of Directed Complex Network

Pubblicato online: 11 apr 2018

Pagine: 190 - 193

DOI: https://doi.org/10.21307/ijanmc-2017-062

Parole chiave
Key point detection, Complex network, Community identification

© 2017 Qingyu Zou et al., published by Sciendo

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

Key Point Detection in Images Based on Triangle Distribution of Directed Complex Network

Pubblicato online: 11 apr 2018

Pagine: 190 - 193

DOI: https://doi.org/10.21307/ijanmc-2017-062

Parole chiaveKey point detection, Complex network, Community identification

© 2017 Qingyu Zou et al., published by Sciendo

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

Parole chiave
Key point detection, Complex network, Community identification